Image recognition using a quadratic convergent learning algorithm of synergetic neural network

This paper presents a learning algorithm of synergetic neural network that can be realized by a 2-layered network. A main feature of the new algorithm is that it is of high accuracy and quadratic convergence rate. Further it avoids the error being accumulated. The experiment results show that the algorithm enables the synergetic neural network to recognize images more effectively compared with previous algorithms.