A general case study of the proposed algorithm for general
optimization of modular neural networks is presented initially
to illustrate the proposed ideas. This case study will prove the
practicality of the proposed method so that it will attract other
researchers for utilizing the method. One advantage of the proposed
method is that we are not depending on a feature extraction
phase and the complete images can be used directly with good
results.