The research of learning algorithm of synergetic neural network

Abstract

Due to existing wide consistency between synergetic thought and neural network in associative memory, learning and pattern recognition, a new network called synergetic neural network arises at the historic moment which is different form the design method of traditional neural network .In the synergetic neural network, learn also is the study of weight matrix in a given training sample set. It's learning problems can be summed up in how to evaluate the adjoint vector and prototype vector. Learning algorithm of synergetic neural network has a lot of kinds, each one has its unique advantages and disadvantages, On the basis of introduces the principle of the synergetic neural network ,this paper analyzed the selection of prototype pattern and the solving of adjoint vector. Finally analysis the advantages of learning algorithm of synergetic neural network based on cluster algorithm.