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一种多层神经网络的学习算法
引用本文:赵犁丰,王怡青.一种多层神经网络的学习算法[J].中国海洋大学学报(自然科学版),1994(Z2).
作者姓名:赵犁丰  王怡青
摘    要:提出一种基于序贯预测误差方法(SPE)的多层神经网络(MNN)的学习算法。经模拟计算,它比传统的基于最陡下降方法的误差反传(SDBEP)算法具有更好的收敛性能。并对这两种算法进行了模拟计算的比较.

关 键 词:神经网络,学习算法,序贯预测误差

A LEARNING ALGORITHM FOR A MULTILAYERED NEURAL NETWORK
Zhao Lifeng, Wang Yiqing.A LEARNING ALGORITHM FOR A MULTILAYERED NEURAL NETWORK[J].Periodical of Ocean University of China,1994(Z2).
Authors:Zhao Lifeng  Wang Yiqing
Institution:Electrical Enginering Department
Abstract:In this paper, a learning algorithm based on the sequencial predict error method (SPE) for a multilayered neural network (MNN) is derived. Simulation computations show that it converges faster than the conventional steepest descent backwards error propagation (SDBEP) algorithm. Comparison of these two algorithms is also made through simulation computations.
Keywords:Neural network  learning algorithm  sequencial predict error  
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