电力系统及其自动化学报2011，Vol.23Issue(4)：45-50,6.
配电网经济运行的BP神经网络评估模型
Evaluation Model of Power Distribution Economy Operation Based on BP Neural Network
摘要
Abstract
According to the diversity and complexity of power distribution economic operation attributes, an e-valuation model based on evidence integration and back propagation (BP) neural network algorithm is proposed. First, the index membership degree given by experts group is fused using evidence fusion theory, in order to avoid the one-sidedness of single expert. Then BP neural network algorithm is introduced to train and test each attributes. To improve the calculation speed and fully understand the comprehensive evaluation value and the index states, an evaluation model of neural network group is established. Finally, the comparison with the fuzzy comprehensive evaluation in the example analysis proves the validity and feasibility of the model.关键词
配电网经济运行/误差逆传播神经网络/证据融合理论/权重Key words
economy operation of distribution/ back propagation (BP) neural network) evidences fusion/weight分类
信息技术与安全科学引用本文复制引用
马丽叶,卢志刚,常磊,王凡..配电网经济运行的BP神经网络评估模型[J].电力系统及其自动化学报,2011,23(4):45-50,6.基金项目
河北自然科学基金(F2010001319) （F2010001319）
