摘要
BP神经网络是误差反向传播神经网络的简称,是目前应用最为广泛和成功的神经网络模型之一。它的最大特点是提供了一个处理非线性问题的模型,系统地解决了多层网络中隐单元连接权的学习问题。
BP neural network is the abbreviation of erroneous reverse transmission neural network, which is presently one of the most successful and widely applied neural network models. The most evident characteristic of BP neural network is that it provides a model that processes nonlinear problems and systematically solves the problem of learning of connective weights of covert units in multi-tier network.
出处
《洛阳师范学院学报》
2008年第4期51-55,共5页
Journal of Luoyang Normal University
关键词
BP神经网络
非线性
分布式表征
自组织
BP neural network
non-linear
distributive attribute
self-organization
