The hidden layer design of the MVQ neural network

We introduce the first part of neural network classifiers design methodology. The design has a lot of the desired features. The design is based on a preprocessing stage of the multiple class vector quantization (MVQ) algorithm. The algorithm extracts the information from the training set. The outcome of this stage fully defines the first hidden layer of the network. The methodology not only has better performance but also provides insights to why and how the neural network works