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<title>Volume 6, Issue 5 (2010) | Journal of Computer Science</title>
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    <title><![CDATA[Intelligent Sensor for Image Control Point of Eigenfaces for Face Recognition]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.484.491</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.484.491">doi:10.3844/jcssp.2010.484.491</a></p>Problem statement: The sensor for image control point in Face Recognition (FR) is one of the most active research areas in computer vision and pattern recognition. Its practical application includes f...]]></content:encoded>
    <dc:title><![CDATA[Intelligent Sensor for Image Control Point of Eigenfaces for Face Recognition]]></dc:title><dc:creator>Mohamed Lamine Toure</dc:creator><dc:creator>Zou  Beiji</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.484.491</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.484.491</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.484.491</prism:doi>
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    <title><![CDATA[Accurate Iris Segmentation Method for Non-Cooperative Iris Recognition System]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.492.497</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.492.497">doi:10.3844/jcssp.2010.492.497</a></p>Problem statement: Iris segmentation is one of the most important steps in iris recognition system and determines the accuracy of matching. Most segmentation methods in the literature assumed that the...]]></content:encoded>
    <dc:title><![CDATA[Accurate Iris Segmentation Method for Non-Cooperative Iris Recognition System]]></dc:title><dc:creator>Abdulsamad Ebrahim Yahya</dc:creator><dc:creator>Md Jan Nordin</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.492.497</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.492.497</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.492.497</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.498.505">
    <title><![CDATA[A New Separable Logarithmic Algorithm for Non-Linear Optimization]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.498.505</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.498.505">doi:10.3844/jcssp.2010.498.505</a></p>Problem statement: The idea of this study stemmed from the fact that most of the currently used optimization algorithms use a local quadratic representation of the objective function. It also arisen f...]]></content:encoded>
    <dc:title><![CDATA[A New Separable Logarithmic Algorithm for Non-Linear Optimization]]></dc:title><dc:creator>Abbas Y. Al-Bayati</dc:creator><dc:creator>Hawraz N. Jabbar</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.498.505</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.498.505</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.498.505</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.506.510">
    <title><![CDATA[A Novel Approach to Classify Noises in Images Using Artificial Neural Network]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.506.510</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.506.510">doi:10.3844/jcssp.2010.506.510</a></p>Problem statement: Noise identification is predominant in any digital image processing algorithms, which helps in identifying the filters to smooth the image for further processing. Approach: An Artif...]]></content:encoded>
    <dc:title><![CDATA[A Novel Approach to Classify Noises in Images Using Artificial Neural Network]]></dc:title><dc:creator>T.  Santhanam</dc:creator><dc:creator>S.  Radhika</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.506.510</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.506.510</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.506.510</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.511.518">
    <title><![CDATA[New Scaled Sufficient Descent Conjugate Gradient Algorithm for Solving Unconstraint Optimization Problems]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.511.518</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.511.518">doi:10.3844/jcssp.2010.511.518</a></p>Problem statement: The scaled hybrid Conjugate Gradient (CG) algorithm which usually used for solving non-linear functions was presented and was compared with two standard well-Known NAG routines, yie...]]></content:encoded>
    <dc:title><![CDATA[New Scaled Sufficient Descent Conjugate Gradient Algorithm for Solving Unconstraint Optimization Problems]]></dc:title><dc:creator>Abbas Y. AL-Bayati</dc:creator><dc:creator>Rafiq S. Muhammad</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.511.518</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.511.518</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.511.518</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2010.511.518</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.519.524">
    <title><![CDATA[Methods of Fast Exponentiation]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.519.524</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.519.524">doi:10.3844/jcssp.2010.519.524</a></p>Problem statement: Modular exponentiation constitutes the basis of many well-known and widely used public key cryptosystems. Approach: A fast portable modular exponentiation algorithm considerably enh...]]></content:encoded>
    <dc:title><![CDATA[Methods of Fast Exponentiation]]></dc:title><dc:creator>Mohammed  Al-Maitah</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.519.524</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.519.524</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.519.524</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2010.519.524</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.525.535">
    <title><![CDATA[Experimenting the Simulation Strategy of Membrane Computing with Gillespie Algorithm by Using Two Biological Case Studies]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.525.535</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.525.535">doi:10.3844/jcssp.2010.525.535</a></p>Problem statement: The evolution rules of membrane computing have been applied in a nondeterministic and maximally parallel way. In order to capture these characteristics, Gillespie’s algorithm has ...]]></content:encoded>
    <dc:title><![CDATA[Experimenting the Simulation Strategy of Membrane Computing with Gillespie Algorithm by Using Two Biological Case Studies]]></dc:title><dc:creator>Ravie Chandren Muniyandi</dc:creator><dc:creator>Abdullah Mohd Zin</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.525.535</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.525.535</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.525.535</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2010.525.535</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.536.541">
    <title><![CDATA[Integrated Clustering and Feature Selection Scheme for Text Documents.]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.536.541</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.536.541">doi:10.3844/jcssp.2010.536.541</a></p>Problem statement: Text documents are the unstructured databases that contain raw data collection. The clustering techniques are used group up the text documents with reference to its similarity. Appr...]]></content:encoded>
    <dc:title><![CDATA[Integrated Clustering and Feature Selection Scheme for Text Documents.]]></dc:title><dc:creator>M.  Thangamani</dc:creator><dc:creator>P.  Thangaraj</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.536.541</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.536.541</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.536.541</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2010.536.541</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.542.547">
    <title><![CDATA[Tree Based Test Case Generation and Cost Calculation Strategy for Uniform Parametric Pairwise Testing]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.542.547</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.542.547">doi:10.3844/jcssp.2010.542.547</a></p>Problem statement: Although it is very important to test any system extensively it is usually too expensive to do so owing to the cost and the resources that are involved in it. Software testing is a ...]]></content:encoded>
    <dc:title><![CDATA[Tree Based Test Case Generation and Cost Calculation Strategy for Uniform Parametric Pairwise Testing]]></dc:title><dc:creator>Mohammad F.J. Klaib</dc:creator><dc:creator>Sangeetha  Muthuraman</dc:creator><dc:creator>Noraziah  Ahmad</dc:creator><dc:creator>Roslina  Sidek</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.542.547</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.542.547</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.542.547</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2010.542.547</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.548.552">
    <title><![CDATA[Application of CART Algorithm in Blood Donors Classification]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.548.552</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.548.552">doi:10.3844/jcssp.2010.548.552</a></p>Problem statement: This study used data mining modeling techniques to examine the blood donor classification. The availability of blood in blood banks is a critical and important aspect in a healthcar...]]></content:encoded>
    <dc:title><![CDATA[Application of CART Algorithm in Blood Donors Classification]]></dc:title><dc:creator>T.  Santhanam</dc:creator><dc:creator>Shyam  Sundaram</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.548.552</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.548.552</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.548.552</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2010.548.552</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.553.556">
    <title><![CDATA[A Fault Tolerant Mobile Agent Information Retrieval System]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.553.556</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.553.556">doi:10.3844/jcssp.2010.553.556</a></p>Problem statement: Most of the information retrieval systems used only client-server architectures. The client-server model though powerful, had some limitations.  In mobile computing environment whic...]]></content:encoded>
    <dc:title><![CDATA[A Fault Tolerant Mobile Agent Information Retrieval System]]></dc:title><dc:creator>R.  Punithavathi</dc:creator><dc:creator>K.  Duraiswamy</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.553.556</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.553.556</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.553.556</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2010.553.556</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.557.565">
    <title><![CDATA[An Ontology Driven, Procedural Reasoning System-Like Agent Model, For Multi-Agent Based Mobile Workforce Brokering Systems]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.557.565</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.557.565">doi:10.3844/jcssp.2010.557.565</a></p>Problem statement: It has been proven that Believe, Desire, Intention (BDI) agent architecture, performs suitably in dynamic and unpredictable environments. Although BDI architecture has been formulat...]]></content:encoded>
    <dc:title><![CDATA[An Ontology Driven, Procedural Reasoning System-Like Agent Model, For Multi-Agent Based Mobile Workforce Brokering Systems]]></dc:title><dc:creator>Arash  Mousavi</dc:creator><dc:creator>Md. Jan Nordin</dc:creator><dc:creator>Zulaiha Ali Othman</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.557.565</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.557.565</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.557.565</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2010.557.565</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.566.571">
    <title><![CDATA[Security Challenges in Multicast Communication for Mobile Ad Hoc Network]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.566.571</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.566.571">doi:10.3844/jcssp.2010.566.571</a></p>Problem statement: Multicasting communication network accepted a single message from an application and delivered copies of the message to multiple recipients at different locations. Recently, there h...]]></content:encoded>
    <dc:title><![CDATA[Security Challenges in Multicast Communication for Mobile Ad Hoc Network]]></dc:title><dc:creator>S.  Gunasekaran</dc:creator><dc:creator>K.  Duraiswamy</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.566.571</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.566.571</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.566.571</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2010.566.571</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.572.575">
    <title><![CDATA[Proposed Movement Tracking E-Systems of Payment in the Municipalities]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.572.575</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.572.575">doi:10.3844/jcssp.2010.572.575</a></p>Problem statement: There is no doubt that the problem of multiple entry forms data collection in information systems of the biggest problems faced by the relevant authorities. Approach: The electronic...]]></content:encoded>
    <dc:title><![CDATA[Proposed Movement Tracking E-Systems of Payment in the Municipalities]]></dc:title><dc:creator>Hassan Mohammed M. Elmetwaly</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.572.575</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.572.575</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.572.575</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2010.572.575</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.576.584">
    <title><![CDATA[Predicting the Severity of Breast Masses with Ensemble of Bayesian Classifiers ]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.576.584</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.576.584">doi:10.3844/jcssp.2010.576.584</a></p>Problem statement: This study evaluated two different Bayesian classifiers; tree augmented Naive Bayes and Markov blanket estimation networks in order to build an ensemble model for prediction the sev...]]></content:encoded>
    <dc:title><![CDATA[Predicting the Severity of Breast Masses with Ensemble of Bayesian Classifiers ]]></dc:title><dc:creator>Alaa M. Elsayad</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.576.584</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.576.584</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.576.584</prism:doi>
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    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.585.590">
    <title><![CDATA[Increasing Database Performance through Optimizing Structure Query Language Join Statement]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.585.590</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.585.590">doi:10.3844/jcssp.2010.585.590</a></p>Problem statement: A join statement is a select statement with more than table in the FROM clause. A join predicate is a predicate in the WHERE clause that combines the columns of two of the tables in...]]></content:encoded>
    <dc:title><![CDATA[Increasing Database Performance through Optimizing Structure Query Language Join Statement]]></dc:title><dc:creator>Ossama K. Muslih</dc:creator><dc:creator>Imad Hasan Saleh</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.585.590</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.585.590</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.585.590</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2010.585.590</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.591.596">
    <title><![CDATA[Fractal Images Compressing by Estimating the Closest Neighborhood with Using of Schema Theory]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.591.596</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.591.596">doi:10.3844/jcssp.2010.591.596</a></p>Problem statement: One of the methods used for compressing images and especially natural images is by benefiting from fractal features of images. Natural images have properties like Self-Similarity th...]]></content:encoded>
    <dc:title><![CDATA[Fractal Images Compressing by Estimating the Closest Neighborhood with Using of Schema Theory]]></dc:title><dc:creator>Mahdi  Jampour</dc:creator><dc:creator>Mahdi  Yaghoobi</dc:creator><dc:creator>Maryam  Ashourzadeh</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.591.596</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.591.596</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.591.596</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2010.591.596</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.597.605">
    <title><![CDATA[Creep predicting model in masonry structure utilizing dynamic neural network]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.597.605</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.597.605">doi:10.3844/jcssp.2010.597.605</a></p>Problem statement: When the loads are applied to a brickwork structure, visco-elastic behavior upon their stress-strain relationships is exhibited, where the response can be classified into two separa...]]></content:encoded>
    <dc:title><![CDATA[Creep predicting model in masonry structure utilizing dynamic neural network]]></dc:title><dc:creator>Mustafa M. Abed</dc:creator><dc:creator>A.  El-Shafie</dc:creator><dc:creator>Siti Aminah Bt. Osman</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.597.605</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.597.605</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.597.605</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2010.597.605</prism:url>
    </item><item rdf:about="https://thescipub.com/jcs/jcssp.2010.606.612">
    <title><![CDATA[Data Optimization with Multilayer Perceptron Neural Network and Using New Pattern in Decision Tree Comparatively]]></title>
    <link>https://thescipub.com/jcs/jcssp.2010.606.612</link>
    <content:encoded>
        <![CDATA[<p>Journal of Computer Science, Published online: 31 May 2010; <a href="https://thescipub.com/jcs/jcssp.2010.606.612">doi:10.3844/jcssp.2010.606.612</a></p>Problem statement: The aim of the present study is to exemplify the use of Artificial Neural Networks (ANN) for parameter prediction. Missing value or unreal approach to some questions in scale is a p...]]></content:encoded>
    <dc:title><![CDATA[Data Optimization with Multilayer Perceptron Neural Network and Using New Pattern in Decision Tree Comparatively]]></dc:title><dc:creator>Murat  Kayri</dc:creator><dc:creator>Omay  Cokluk</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.606.612</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-05-31; | doi:10.3844/jcssp.2010.606.612</dc:source>
    <dc:date>2010-05-31</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/jcssp.2010.606.612</prism:doi>
    <prism:url>https://thescipub.com/jcs/jcssp.2010.606.612</prism:url>
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