A SEQUENTIAL LEARNING ALGORITHM OF NEURAL NETWORK AND ITS APPLICATION
一种序贯学习神经网络及其应用

This paper proposes a sequential learning neural net which consists of the bounded weight adjustment algorithm and structure adaptive adjustment method. This network is characterized by efficiently learning the knowledge of new samples in series. After an efficient sequential learning algorithm of this network, is presented its learning feature and recognition performance in detail are analyzed. The effectiveness of this network have also been shown by theoretical analyses and a lot of experiments in this paper.