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一种基于演化神经网络的资源型城市可持续发展指标预测模型

Forecasting Model for the Indexes of Sustainable Development of Resource-Based City Based on the Evolutionary Artificial Neural Network

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【作者】 朱明峰熊焰洪天求

【Author】 ZHU Ming-Feng;XIONG Yan;HONG Tian-Qiu School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009 Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230026

【机构】 合肥工业大学资源与环境学院中国科学技术大学计算机科学技术系

【摘要】 将人工神经网络和演化计算相结合,克服神经网络存在的一些不足,构造了一个演化神经网络预测模型。并运用此模型对某典型资源型城市的国民经济和可持续发展体系进行了分析预测,为资源型城市今后的可持续发展提供了一些参考。对比实验结果表明,演化神经网络的预测结果要比BP神经网络好。

【Abstract】 The aim of this paper is to present a forecasting model based on evolutionary artificial neural network by combining artificial neural network with evolutionary computation. Then we use it to analyze and forecast the national economy and sustainab1e development of a resource--based city and some suggestions are presented for it. It is proved by the contrastive experiments that the forcast results of evolutionary neural network are much better than those of BP neural network.

【基金】 国家教育部科学技术研究重点资助项目(No.jyb 2000 08B2)
  • 【文献出处】 模式识别与人工智能 ,Pattern Recognition and Artificial Intelligence , 编辑部邮箱 ,2005年04期
  • 【分类号】F299.2;F224
  • 【被引频次】6
  • 【下载频次】266
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