电力市场营销组合策略的人工神经网络模型

Research on ANN in fabricate sale policy of electric power market

神经网络系统是由大量结构和功能十分简单的处理单元即神经元广泛互连而成的高度复杂的非线性动力学系统。以人工神经网络理论为基础,运用单隐层神经网络结构算法,建立了营销组合决策的神经网络模型。以区域电力市场为实例,对建立的神经网络模型进行多次训练,结果证明模型计算值与实际值十分接近,从而说明了该模型具有较好的适用性。

The ANN system is composed of a great deal of disposal cells, namely nerve cells, whose structure and function is simple and can be connected with each other widely to construct the complicated system. Based on the theory of ANN and the BP algorithm, this article establishes the ANN model of assorted marketing policy. The model has been trained based on the regional power market. The results of the model is in a good agreement with the practice.