摘要
研究过程中分析比较了人工神经网络和灰色模型的优缺点,尝试将人工神经网络模型与改进灰色模型进行有机结合,从而提出了改进灰色神经网络模型。新的耦合方式发挥了灰色预测方法中累加生成的优点,便于神经网络进行训练,又避免了灰色预测方法带来的误差,提高了预测精度,是一种新的有益探索;为实际工程应用提供了重要的参考。
In the research process, this paper has analyzed and compared the advantages and disadvantages of manual ANN and improved grey model, tried to combined manual ANN with improved grey model organically, and put forward improved grey ANN model. New coupling method has exerted the advantages accumulated and formed in grey forecast method, not only easy to ANN training, but also avoid error caused by grey forecast method. Thus is a sort of new and available study for improving forecast precision, which provides important reference value in actual construction application.
出处
《水力发电》
北大核心
2007年第6期69-72,88,共5页
Water Power
基金
国家自然科学重点资助项目(50579022
50539140
20050487062)
关键词
改进灰色
神经网络
电力负荷
预测评价
improved grey model
neural networks
electric load
prognosis and assessment