| 随机变异—优化选择神经网络在铁货运量预测方面的应用 |
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| 引用本文： | 戴添发,赵鸿.随机变异—优化选择神经网络在铁货运量预测方面的应用[J].新疆师范大学学报(自然科学版),2011,30(2):70-74. |
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| 作者姓名： | 戴添发 赵鸿 |
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| 作者单位： | 厦门大学物理系,福建厦门,361005 |
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| 摘 要： | 利用最近提出的人工神经网络设计新方法构造了用于时间序列预测的三层网络,并将这一神经网络用于对铁路货运量的变化的预测。通过和其他传统方法所得结果比较,网络的泛化能力明显提高。
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| 关 键 词： | 人工神经网络 泛化能力 设计规则 |
Application of neural networks based on Monte Carlo Adaptation rule in railway freight volume prediction |
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| DAI Tianfa,ZHAO Hong.Application of neural networks based on Monte Carlo Adaptation rule in railway freight volume prediction[J].Journal of Xinjiang Normal University(Natural Sciences Edition),2011,30(2):70-74. |
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| Authors: | DAI Tianfa ZHAO Hong |
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| Institution: | DAI Tianfa,ZHAO Hong(Physisc Department of Xiamen University,Xiamen,Fujian,361005,China) |
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| Abstract: | A three--layer artificial neural network, which is designed by a new method （Monte--Carlo --Adaptation Algorithm）, is used to forecast the railway freight volume. Comparing with the results obtained by traditional methods, it is shown that the generalizat |
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| Keywords: | Neural Network Generalization Ability Design Rule |
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