| 基于优化遗传算法的灰色-RBF神经网络预测模型研究 |
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| 引用本文： | 董辉.基于优化遗传算法的灰色-RBF神经网络预测模型研究[J].新乡学院学报(自然科学版),2012(3):237-240. |
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| 作者姓名： | 董辉 |
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| 作者单位： | 亳州职业技术学院信息工程系 |
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| 基金项目： | 安徽省教育厅自然科学基金资助项目(KJ2012Z262) |
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| 摘 要： | 根据灰色系统、RBF神经网络的模型及遗传算法原理,提出了一种基于灰色系统与改进的遗传算法RBF神经网络的系统预测模型,采用改进的遗传算法对该模型进行全局优化,最后用实验验证了模型的有效性,对比分析了单独使用GM(1,1)和RBF神经网络模型的预测结果.结果证明,优化后的预测模型的预测精度高于另外两种模型的预测结果.
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| 关 键 词： | 灰色系统 GM(1 1)模型 遗传算法 RBF神经网络 |
Research of Grey-RBF Neural Network Prediction Model Based on Optimized Genetic Algorithm |
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| Authors: | DONG Hui |
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| Institution: | DONG Hui(Department of Information Engineering,Bozhou Vocational and Technical College,Bozhou 236800,China) |
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| Abstract: | According to grey system,RBF neural network model and principle of genetic algorithm.A system prediction model is proposed based on grey system and modified genetic algorithm RBF neural network.Global optimization is processed on the model using the improved genetic algorithm.And validity of the model is verified by experiments.Comparative analyzing on prediction results of exclusive use of GM(1,1) and RBF neural network model,consequences prove that the accuracy of prediction model is better than the other two. |
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| Keywords: | grey system GM(1 1) model genetic algorithm RBF neural network |
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