4 results for “Adaptive Resonance Theory (ART)”

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Research ArticleOpen accessEvery word in the titleAdaptive Resonance Theory 1 (ART1) Neural Network Based Horizontal and Vertical Classification of 0-9 Digits RecognitionMbaitiga ZacharieThis study describes the Adaptive Resonance Theory 1 (ART1), an efficient algorithm that emulates the self-organizing pattern recognition and hypothesis testing properties of the ART neural network architecture for horizontal and vertical classification of 0-9 digits recognition. In our approach the ART1 model can self-organize in real time producing stable and clear recognition while getting input patterns beyond those originally … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 7,346 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsAn Automatic Topic Identification AlgorithmHossein Shahsavand Baghdadi, Bali Ranaivo-MalançonProblem statement: Topic is a stream of words which stands for the content of a text. Knowing the topic of a document can help people to be aware from its content and facilitate their searching process. Approach: This paper proposes an automatic algorithm to identify the topic for a textual document based on the chunks corresponding to each sentences in … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 6,906 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsAdaptive 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 PDF Cite

CorrigendumOpen accessAll words, across the recordCorrigendum: Adaptive Resonance Theory Training Parameters: Pretty Good SetsTasir Mohammad Eldos, Abdulaziz Suleiman AlmazyadCorrection to: Journal of Computer Science http://doi.org/10.3844/jcssp.2010.1443.1449, published online 01 December 2010; updated 11 April 2018 The original version of this Article contained errors in the affiliation for Tasir Eldos. The correct affiliation for Mr. Tasir Eldos is as follows: Department of Computer Engineering, Jordan University of Science and Technology, Al Ramtha, Irbid Jordan These errors have now been corrected … …Journal of Computer Science, Vol. 14, Issue 3 · 12 Apr 2018 · 7,269 accessesView PDF Cite