Design a Binary Neural Network Classifier Algorithm with Parallel Training in Hidden Layer

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Provided by: International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Topic: Networking
Format: PDF
Since last decade, classification methods are useful in a wide range of applications. Classification is a task to group the sample having similar properties. This capability can be introduced in computer system by designing various types of classifiers. Neural network is one of the artificial intelligent techniques that have many successful examples when applying to this problem. Here, a Binary Neural Network Classifier (BNNC) is analyzed and implemented for solving multi class problem. It takes inputs in binary form and generates outputs in binary form.
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