| 城市需水量预测的混沌神经网络模型 |
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| 引用本文： | 刘勇健 沈军. 城市需水量预测的混沌神经网络模型[J]. 水电能源科学, 2005, 23(1): 15-17,27 |
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| 作者姓名： | 刘勇健 沈军 |
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| 作者单位： | 广东工业大学,建设学院,广东,广州,510643 |
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| 基金项目： | 广东省自然科学基金资金项目 ( 0 4 0 0 94 77)，广东省重点学科基金资助项目 ( 2 0 2 16 ) |
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| 摘 要： | 将人工神经网络原理引入城市需水量预测中，针对BP网络收敛速度慢、易陷入局部极小的缺陷，提出了基于混沌神经网络的城市需水量预测模型，该模型简便易行，收敛速度快、预测精度高，具有良好的应用前景。
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| 关 键 词： | 城市需水量 神经网络 混沌优化 时间序列 预测 |
| 文章编号： | 1000-7709(2005)01-0015-04 |
Prediction Model of Urban Water Con-sumption Based on Chaos Neural Network |
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| LIU Yongjian. Prediction Model of Urban Water Con-sumption Based on Chaos Neural Network[J]. International Journal Hydroelectric Energy, 2005, 23(1): 15-17,27 |
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| Authors: | LIU Yongjian |
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| Abstract: | Theory of artificial neural network is introduced into prediction of urban water consumption in this paper. Since BP neural networks owns disadvantage of slow convergence and local minimization, the proposed prediction model of urban water consumption is based on chaos optimal method and BP algorithm. Typical examples prove that the model is a very effective and accurate water consumption forecast model and easy to handle with. This method is expected to be widely used in practice. |
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| Keywords: | urban water consumption neural net-works chaos optimization time-series prediction |
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