Optimisation of the performance of neural network based pattern recognition classifiers with distributed systems
İbrahim Türkoğlu, Ahmet Hamdi Arslan · 2002
In this study, a new algorithm with distributed systems is proposed in order to optimise the structure of the classifiers, which have great importance in pattern recognition. The algorithm is applied to a multilayer neural network classifier, which uses the rule of backpropagation learning. The long process period is shortened and expected high operation speed is achieved in pattern recognition by minimizing the hardware realization of the classifier.