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A web‐based tool for teaching neural network concepts
Author(s) -
Ugur Aybars,
Kinaci Ahmet Cumhur
Publication year - 2010
Publication title -
computer applications in engineering education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.478
H-Index - 29
eISSN - 1099-0542
pISSN - 1061-3773
DOI - 10.1002/cae.20184
Subject(s) - computer science , artificial neural network , artificial intelligence , world wide web , software engineering
Although neural networks (NN) are important especially for engineers, scientists, mathematicians and statisticians, they may also be hard to understand. In this article, application areas of NN are discussed, basic NN components are described and it is explained how an NN work. A web‐based simulation and visualization tool (EasyLearnNN) is developed using Java and Java 2D for teaching NN concepts. Perceptron, ADALINE, Multilayer Perceptron, LVQ and SOM models and related training algorithms are implemented. As a result, comparison with other teaching methods of NN concepts is presented and discussed. © 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 18: 449–457, 2010; View this article online at wileyonlinelibrary.com ; DOI 10.1002/cae.20184