摘要
提出了研究水库群优化调度函数的人工神经网络方法,并探讨了神经网络的训练参数、训练方法和训练样本的改变对网络训练和应用效果的影响。实例研究表明,模型及其算法是可行的、有效的。
An Artificial Neural Network(ANN)methodology for optimal opertions and operation rules of multi-reservoir system is developed in this paper,it has also been investigated the effect of the change of training parameters, methods and patterns on the training and performance of BP network.The case studies have shown the feasibility and the effectivenes of the proposed model and algorithm.
出处
《水科学进展》
EI
CAS
CSCD
1995年第1期53-60,共8页
Advances in Water Science
关键词
水库群
水库调度
神经网络
最佳化
reservoir operation
multilayer feedforward neural network
aritifcial neural network.