摘要
该文提出了一种判别水库水温分层模式的人工神经网络方法，该方法不直接描述水温分层的物理机制和物理模型，通过设定前馈网络结构并利用已有实例进行训练，使网络能很好地模拟水温垂直分层模式影响因素与水温分层模式间的映射关系，其特点是分类准确、适应能力强，对线性和非线性分类问题均适用。
An artificial neural network method to distinguish reservoir water temperature layering model was developed. This method describes indirectly physical mechanism and physical model of water temperature layering,by means of setting feedforward network and using example training,making network to simulate better mapping relation between water temperature layering model influence factor and water temperature layering model. Comparing with common method,this method has notable characteristics as follows:good classification accuracy,strong adaption ability,applying to linear and nonlinear classification problem.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
1999年第3期204-208,共5页
Transactions of the Chinese Society of Agricultural Engineering
关键词
人工神经网络
BP算法
水库
水温
artificial neural network
BP algorithm
reservoir
water temperature
