Research ArticleOpen accessIn the abstractFish Classification Based on Robust Features Extraction From Color Signature Using Back-Propagation ClassifierMutasem Khalil Alsmadi, Khairuddin Bin Omar, Shahrul Azman Mohd NoahProblem statement: Image recognition was a challenging problem researchers had been research into this area for so long especially in the recent years, due to distortion, noise, segmentation errors, overlap and occlusion of objects in digital images. In our study, there are many fields concern with pattern recognition, for example, fingerprint verification, face recognition, iris discrimination, chromosome shape discrimination, optical … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive 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 accessIn the abstractA Derivative-Free Optimization Method for Solving Classification ProblemParvaneh Shabanzadeh, Malik Abu Hassan, Wah June LeongProblem statement: The aim of data classification is to establish rules for the classification of some observations assuming that we have a database, which includes of at least two classes. There is a training set for each class. Those problems occur in a wide range of human activity. One of the most promising ways to data classification is based on … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,505 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Back Propagation Neural Networks for Grading Jatropha curcas Fruits MaturityZ. Effendi, R. Ramli, J. A. GhaniProblem statement: Jatropha curcas has the potential to become one of the world’s key energy crops. Crude vegetable oil, extracted from the seeds of the Jatropha plant, can be refined into high quality biodiesel. Traditional identification of Jatropha curcas fruits is performed by human experts. The Jatropha curcas fruit quality depends on type and size of defects as well as … …American Journal of Applied Sciences, Vol. 7, Issue 3 · 31 Mar 2010 · 7,873 accessesView PDFCite
Research ArticleOpen accessIn the abstractNora: The Preservation of the Southern Thailand Performing Arts Development and InheritanceBubpachat Aupatummarakorn, Kla Somtrakul, Marisa KaseyayothinProblem statement: Nora was the valuable Southern Thailand Performing Arts. The objectives of this study were to study: (1) historical background, identity, factor, tradition, belief and lifestyle of Southern Nora Team and (2) problem situations of Southern Thailand Performing Arts and guidelines in promoting occupation of the Southern Thailand Performing Arts. Approach: The research area in Southern Region included Patalung, … …Journal of Social Sciences, Vol. 6, Issue 1 · 14 Mar 2010 · 8,090 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew Constructive Neural Network Architecture for Pattern ClassificationS. S. Sridhar, M. PonnavaikkoProblem statement: Constructive neural network learning algorithms provide optimal ways to determine the architecture of a multi layer perceptron network along with learning algorithms for determining appropriate weights for pattern classification problems. These algorithms initially start with small network and dynamically allow the network to grow by adding and training neurons as needed until a satisfactory solution is found. The … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,565 accessesView PDFCite
Research ArticleOpen accessIn the abstractSelf-Generation ART-1 Neural Network with Gradient-Descent Method Aid for Latin Alphabet RecognitionMbaïtiga ZacharieProblem statement: In this study a self-generation ART-1 neural network that is an efficient algorithm that emulates the self-organizing pattern recognition developed to avoid the stability-plasticity dilemma in competitive networks learning, is presented for Latin alphabet recognition to use in a vision system for road sings recognition. Approach: The first step of our approach deals with the training process where … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,566 accessesView PDFCite
Research ArticleOpen accessIn the abstractLipid Profile of Gymnasts of the Jordan National TeamAhmad Bani Ata, Kamal Mansi, Talal AburjaiThis study was carried out to assess the lipid pattern in gymnasts of the Jordan National Team. Twelve athletes represent the National gymnastic team (4 males and 8 females, mean age 18±1 year) were included in this study. The training period for them is not less eight years during which they trained 18 hours weekly at least. A group of … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,531 accessesView PDFCite
Research ArticleOpen accessIn the abstractRule Extraction from Radial Basis Functional Neural Networks by Using Particle Swarm OptimizationM. R. Senapati, I. Vijaya, P. K. DashRadial basis functional neural networks (RBFNN) provide an outstanding possibility for generating rules for solving pattern classification problems. One of the most important factors in RBFNN is finding out the center and spread. This paper examines rules extracted from RBF networks trained by Particle swarm Optimization (PSO). The selection of the RBFNN centers, spreads and the network weights can be … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Aug 2007 · 6,784 accessesView PDFCite