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80 results for “optimization tool”
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Research ArticleOpen accessAll words, across the recordData Optimization with Multilayer Perceptron Neural Network and Using New Pattern in Decision Tree ComparativelyMurat Kayri, Omay CoklukProblem 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 problem for unbiased findings. To learn a real pattern with ANN provides robust and unbiased parameter estimation. Approach: To this end, data was collected from 906 students … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,200 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordConvalesce Optimization for Input Allocation Problem Using Hybrid Genetic AlgorithmMamta Madan, Sushila MadanProblem statement: The purpose of this study was to describe categories of hybrid genetic algorithm and validate that the hybrid genetic algorithm converges to the optimal solution rather than a near optimal solution so that Hybrid Genetic algorithms can be used to solve real world problems and receive significant interest. Approach: We implemented the input allocation problem for a manufacturing … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,005 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordThe Artificial Neural Network Based Approach for Mortality Structure AnalysisSokolova M. Kursk, Rashad J. Rasras, D. SkopinThe theoretical outcomes and experimental results of applying of Artificial Neural Networks towards mortality structure examination in Russian Federation are presented in the paper. The most influencing classes of diseases are selected by sensitivity analysis. It is proved that Neural Network Models appear to be an adequate tool for mortality structure examination. Some interesting results for males and females total … …American Journal of Applied Sciences, Vol. 3, Issue 2 · 28 Sep 2006 · 7,056 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDetermination of Optimum Alloy Sample Size for Ball Mill Abrasion Test Through Automated t-Student Distribution AnalysisCarlos Daniel Garcia Mendoza, Lelly María Useche Castro, Miguel Ángel Lapo Palacios et al.Inmaterial wear experiments, such as the Ball Mill Abrasion Test (BMAT), it iscrucial to know the number of specimens to be used in each experiment toproduce accurate and reliable results. In BMAT, however, a structured way ofdetermining the necessary number of balls per type of material to be includedin the experiments has not been considered to date. This article shows, … …Journal of Computer Science, Vol. 18, Issue 9 · 14 Sep 2022 · 5,941 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOptimizing the Deployment of the Overall Maturity Improvement Plan for Information Systems Risk ManagementFatima Ezzahra Ettahiri, Mina El Maallam, Hicham Bensaid, Mahmoud NassarMaturity models contribute considerably to the continuous improvement of the various business processes. However, the most important challenge for these tools after assessing maturity is how to define effective and efficient improvement plans especially in the case of an organization having multiple Information Systems (IS). This study presents an algorithm for optimizing the deployment of the overall maturity improvement plan … …Journal of Computer Science, Vol. 18, Issue 3 · 20 Mar 2022 · 6,505 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordParameter Settings for New Generational Genetic Algorithms for Solving Global Optimization ProblemsSiew Mooi Lim, Md. Nasir Sulaiman, Norwati Mustapha, Abu Bakar Md. SultanThis study operates within experimental design with two main tools of Taguchi method namely orthogonal array and signal to noise ratio to discover the optimal parameter settings for newly proposed generational genetic algorithms; they are Laplace Crossover-Scale Truncated Pareto Mutation (LX-STPM) and Rayleigh Crossover-Scale Truncated Pareto Mutation (RX-STPM). It concluded that GA parameter settings are algorithms and problems dependent. …Journal of Computer Science, Vol. 11, Issue 11 · 7 Jan 2016 · 6,404 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOptimization of Energy Dispersive X-Ray Fluorescence Spectrometer to Analyze Heavy Metals in Moss SamplesMohd Zahari Abdullah, Ahmad Saat, Zaini HamzahProblem statement: Mosses had been widely used as bioindicator especially to study the levels of trace metals pollutants in the surrounding ambient air because of their high efficiency to accumulate heavy metals contamination. There had been increasing demand to get a suitable analytical tools to determine the chemical contents of moss samples in this type of media. This study was … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 3 · 18 Aug 2011 · 7,787 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAdaptive Resonance Theory Training Parameters: Pretty Good SetsTaisir Mohammad Eldos, Abdulaziz Suleiman AlmazyadProblem statement: ART1 artificial neural networks offer good tools for test clustering, where no expert is needed if the system is well trained. However, having no output reference for the input patterns makes it hard to judge the quality of the training. Moreover, the performance depends to a great extent on a set of training parameters. Designers follow some recommendations … …Journal of Computer Science, Vol. 6, Issue 12 · 6 Nov 2010 · 7,155 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOptimization of Bathymetry Database for Coastal AreasWorachat Wannawong, Prungchan Wongwises, Usa W. HumphriesProblem statement: A database containing gridded bathymetries with different coverages and resolutions has been established. Approach: The interpolation techniques of the gridded bathymetries have been developed to define the spherical, rectangular and curvilinear coordinate grid systems. Results: Subsequently, merging of the bathymetry results has also been developed to define the optimal bathymetry. Furthermore, the bathymetries were established in order to … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,223 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordQuadratic Interpolation Algorithm for Minimizing Tabulated FunctionE.A. Youness, S.Z. Hassan, Y.A. El-RewailyProblem statement: The problem of finding the minimum value of objective function, when we know only some values of it, is needed in more practical fields. Quadratic interpolation algorithms are the famous tools deal with this kind of these problems. These algorithms interested with the polynomial space in which the objective function is approximated. Approach: In this study we approximated … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,555 accessesView PDFCite