胡铁松, 万永华, 冯尚友. 水库群优化调度函数的人工神经网络方法研究[J]. 水科学进展, 1995, 6(1): 53-60.
引用本文: 胡铁松, 万永华, 冯尚友. 水库群优化调度函数的人工神经网络方法研究[J]. 水科学进展, 1995, 6(1): 53-60.
Hu Tiesong, Wan Yonghna, Feng Shangyou. Resarch on the Artificial Neural Network Methodology for Multi-Reservoir Operating Rules[J]. Advances in Water Science, 1995, 6(1): 53-60.
Citation: Hu Tiesong, Wan Yonghna, Feng Shangyou. Resarch on the Artificial Neural Network Methodology for Multi-Reservoir Operating Rules[J]. Advances in Water Science, 1995, 6(1): 53-60.

水库群优化调度函数的人工神经网络方法研究

Resarch on the Artificial Neural Network Methodology for Multi-Reservoir Operating Rules

  • 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。

     

    Abstract: 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.

     

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