摘要
在大量文献研究的基础上,从网络结构、学习算法、激励函数、样本选择、数据规范化、收敛判据等方面,对神经网络模型在实际应用中存在的主要问题及采取的主要对策进行了较系统的论述和比较分析,反映了人工神经网络模型的新进展,对水电能源科学的建模、预测、优化和评价具有一定的借鉴意义。
In order to make good use of Artificial Neural Network Model(ANN), the model is systematically researched on the aspects such as network structure, learning algorithm, activation function, sets selection, data normalization and convergence criterion on basis of analysis of lots of literature in this paper. The conclusions are obtained that all the process must be taken into account when you are using ANN.
出处
《水电能源科学》
2004年第3期71-74,共4页
Water Resources and Power
关键词
模型选择
网络结构
网络算法
权值和阈值
激励函数
样本选择
model selection
network structure
network algorithm
weight and valve value
excitation function
pattern selection
