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基于遗传模拟退火算法的神经网络模型在陕西省需水预测中的应用
引用本文:巩琳琳. 基于遗传模拟退火算法的神经网络模型在陕西省需水预测中的应用[J]. 地下水, 2006, 28(5): 10-13,20
作者姓名:巩琳琳
作者单位:陕西省水利电力勘测设计研究院,陕西,西安,710001
摘    要:神经网络模型是近年来在需水预测方面应用较为广泛的一种方法,在陕西省的需水预测中根据实际情况采用遗传模拟退火算法对其进行优化,预测的结果和其他预测方法进行对比,证明该方法预测的结果较为合理,能够在类似的预测中加以推广应用.

关 键 词:神经网络模型  遗传模拟退火算法  陕西省  需水预测
文章编号:1004-1184(2006)05-0010-04
收稿时间:2006-05-22
修稿时间:2006-05-22

The NN model based on annealing arithmetic of genetic simulation under the application of water-demand forecast in Shaanxi province
GONG Linlin. The NN model based on annealing arithmetic of genetic simulation under the application of water-demand forecast in Shaanxi province[J]. Groundwater, 2006, 28(5): 10-13,20
Authors:GONG Linlin
Abstract:The NN model is a method which is applied widely in water--demand forecast for recent years. During forecasting water demand, the article adopts annealing calculation of genetic simulation to optimize it according to the fact. Comparing the result to others, it shows the method is more reasonable and can be popularized for the similar forecast.
Keywords:the NN model   annealing calculation of genetic simulation   water- demand forecast
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