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1,983 results for “LM algorithm”
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Research ArticleOpen accessEvery word in the titleA LOAD BALANCING MODEL USING FIREFLY ALGORITHM IN CLOUD COMPUTINGA. Paulin Florence, V. ShanthiCloud computing is a model that points at streamlining the on-demand provisioning of software, hardware and data as services and providing end-users with flexible and scalable services accessible through the Internet. The main objective of the proposed approach is to maximize the resource utilization and provide a good balanced load among all the resources in cloud servers. Initially, a load … …Journal of Computer Science, Vol. 10, Issue 7 · 15 Feb 2014 · 8,763 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCUCKOO SEARCH-AIDED LMS ALGORITHM FOR CHANNEL ESTIMATION IN MC-CDMA SYSTEMSS. Balaji, N. VasudevanIn the progress of transmission systems that uses the diversity in various domains, the execution of competent baseband receivers categorized by affordable computational load is an essential thing. This would be an imperative point in the future expansion of 4G systems in which the space, time and frequency diversity will be merged together to enhance the system throughput. Here, we … …Journal of Computer Science, Vol. 10, Issue 6 · 27 Jan 2014 · 7,096 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEVALUATING THE PERFORMANCE OF THE LOCATION-AIDED ROUTING-1P ROUTE DISCOVERY ALGORITHMAli Maqousi, Hussein Al-BahadiliDynamic Routing Protocols (DRPs) are widely-used for routing information among mobile nodes in Mobile Ad Hoc Network (MANET) and establish and maintain connectivity within the network. A DRP comprises two main phases: route discovery and route maintenance. The route discovery phase involves transmission of large number of redundant control packets consuming significant portion of the nodes power and increase communication … …Journal of Computer Science, Vol. 10, Issue 3 · 28 Nov 2013 · 6,480 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHALF OF THRESHOLD ALGORITHM: AN ENHANCED LINEAR ADAPTIVE SKIPPING TRAINING ALGORITHM OR MULTILAYER FEEDFORWARD NEURAL NETWORKSManjula Devi Ramasamy, Kuppuswami Subbaraya GounderMultilayer Feed Forward Neural Network (MFNN) has been successfully administered architectures for solving a wide range of supervised pattern recognition tasks. The most problematic task of MFNN is training phase which consumes very long training time on very huge training datasets. An enhanced linear adaptive skipping training algorithm for MFNN called Half of Threshold (HOT) is proposed in this research … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 22 Nov 2013 · 7,016 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA NOVEL PRIORITIZATION ALGORITHM MODEL BASED TEST-SUITE GENERATION USING REGRESSION TESTINGPrabhu Jayagopal, Dr. Malmurugan NagarajanThe fully automatic Graphical User Interface tool for any application using novel model based test suite generation techniques for a GUI. They are unable to control response time and time intervals are based on relationship between GUI events handlers and test cases with their responsibilities. We present a novel prioritization algorithm that enhances event handlers for the automated GUI tool. … …Journal of Computer Science, Vol. 10, Issue 2 · 13 Nov 2013 · 6,628 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCONSTRAINT INFORMATIVE RULES FOR GENETIC ALGORITHM-BASED WEB PAGE RECOMMENDATION SYSTEMS. Prince Mary, E. BaburajTo predict the users navigation using web usage mining is the primary motto of the web page recommendation. Currently, researchers are trying to develop a web page recommendation using pattern mining technique. Here, we propose a technique for web page recommendation using genetic algorithm. It consists of three phases as data preparation, mining of informative rules and recommendation. The data … …Journal of Computer Science, Vol. 9, Issue 11 · 5 Oct 2013 · 6,670 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNEW BINARY PARTICLE SWARM OPTIMIZATION WITH IMMUNITY-CLONAL ALGORITHMAmr Badr, Mostafa Abd El Azeim, Dina EL-GammalParticle Swarm Optimization used to solve a continuous problem and has been shown to perform well however, binary version still has some problems. In order to solve these problems a new technique called New Binary Particle Swarm Optimization using Immunity-Clonal Algorithm (NPSOCLA) is proposed This Algorithm proposes a new updating strategy to update the position vector in Binary Particle Swarm … …Journal of Computer Science, Vol. 9, Issue 11 · 30 Sep 2013 · 6,796 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGENETIC ALGORITHM AND NEURAL NETWORK FOR OPTICAL CHARACTER RECOGNITIONHendy Yeremia, Niko Adrianus Yuwono, Pius Raymond, Widodo BudihartoComputer system has been able to recognize writing as human brain does. The method mostly used for character recognition is the backpropagation network. Backpropagation network has been known for its accuracy because it allows itself to learn and improving itself thus it can achieve higher accuracy. On the other hand, backpropagation was less to be used because of its time … …Journal of Computer Science, Vol. 9, Issue 11 · 19 Sep 2013 · 7,646 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleArtificial Bee Colony Algorithm Integrated with Fuzzy C-mean Operator for Data ClusteringM. Krishnamoorthi, A. M. NatarajanClustering task aims at the unsupervised classification of patterns in different groups. To enhance the quality of results, the emerging swarm-based algorithms now-a-days become an alternative to the conventional clustering methods. In this study, an optimization method based on the swarm intelligence algorithm is proposed for the purpose of clustering. The significance of the proposed algorithm is that it uses … …Journal of Computer Science, Vol. 9, Issue 4 · 6 May 2013 · 6,299 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMembrane Computing Inspired Genetic Algorithm on Multi-Core ProcessorsAli Maroosi, Ravie Chandren MuniyandiMembrane computing is a branch of natural computing. Several studies have recently attempted to utilize the structure of membrane computing to improve intelligent algorithms. These studies have applied communication rules in membrane models to facilitate information exchange between membranes, thereby improving the performance of those algorithms. However, parallel membrane computing has not yet been considered. This study proposes a membrane … …Journal of Computer Science, Vol. 9, Issue 2 · 12 Apr 2013 · 6,625 accessesView PDFCite