人工神经网络对城市经济发展的预期研究——丽水市水电产业发展趋势预测  

Prediction of urban economic development with artificial neural network: trend of hydroelectric industry development in Lishui City

作　　者：孙镟[1] 章仁俊[1] 郑垂勇[2] 

机构地区：[1]河海大学商学院,江苏南京210098 [2]河海大学东部资源环境与持续发展研究中心,江苏南京210098

出　　处：《河海大学学报（自然科学版）》2005年第3期343-346,共4页Journal of Hohai University(Natural Sciences)

摘　　要：运用人工神经网络的学习系统对丽水市水电产业发展趋势进行数据自适应跟踪预测.通过该系统将相关年份的发电量和国内生产总值进行组合跟踪测算,测算结果表明:自适应神经网络能很好地跟踪原始数据变化趋势,从而得到比较科学和准确的经济趋势预测值.A self-adaptive data tracking and prediction was performed for the trend of hydroelectric industry development in Lishui City by use of the study system of the artificial neural network. The combined tracking and calculation of the power production and GDP at home of related years shows that, with the self-adaptive neural network, the predicted value of economic trend is more scientific and accurate.

关 键 词：水电产业 经济发展 趋势预测 人工神经网络 丽水市 

分 类 号：F426[经济管理—产业经济]