WEB BASED EDUCATIONAL SOFTWARE FOR ARTIFICIAL NEURAL NETWORKS
Tuncay Yi̇ği̇t, Ali Hakan IŞIK, Mehmet Bilen · DergiPark (Istanbul University) · 2014
Artificial Neural Networks (ANN) is an important data processingalgorithm for students, researches, scientist, mathematicians, academicians andengineers which is inspired by human brain and human brain’s learning methods.Complex nature and mathematical structures of ANN makes it difficult to learn.Due to this reason, new methods have to be employed to teach ANN. In thisstudy, we design and develop web based educational software which combinesadvantages of examined works to teach artificial neural networks with thesupport of multimedia course content. In addition, relevant studies such asNeuro-Lab, EasyLearnNN, NeuroFuzz and related most popular professionalcommercial tools such as MATLAB, Statistica, Mathematica, NeuroSolutions, JOONEare also examined. Developed software will help researchers from students toscientist to train, test an ANN model and understand fundamentals of ANN.