| 改进遗传神经网络算法在销售预测中的应用研究 |
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| 引用本文： | 邰丽君,胡如夫,赵韩,陈曹维.改进遗传神经网络算法在销售预测中的应用研究[J].现代图书情报技术,2012(1):63-67. |
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| 作者姓名： | 邰丽君 胡如夫 赵韩 陈曹维 |
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| 作者单位： | 宁波工程学院机械工程学院;合肥工业大学机械与汽车工程学院 |
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| 基金项目： | 浙江省教育厅科研项目“中小制造企业协同制造信息建模与集成研究”(项目编号:Y201119728)的研究成果之一 |
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| 摘 要： | 针对传统BP神经网络销售预测算法存在学习效率低、收敛速度慢、易陷于局部极小值等不足,提出改进措施:采用自适应学习效率提高算法的有效性和收敛性,采用附加动量法提高算法的适应性,采用改进的遗传算法优化神经网络的权值,利用改进遗传算法全局寻优的特性实现快速寻优及精确预测的目的。最后用实例计算验证本算法。
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| 关 键 词： | BP算法 遗传算法 销售预测 |
Application Research of Improved Genetic Neural Network Algorithm in Sales Forecast |
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| Tai Lijun,Hu Rufu,Zhao Han,Chen Caowei.Application Research of Improved Genetic Neural Network Algorithm in Sales Forecast[J].New Technology of Library and Information Service,2012(1):63-67. |
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| Authors: | Tai Lijun Hu Rufu Zhao Han Chen Caowei |
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| Institution: | 1(School of Mechanical Engineering,Ningbo University of Technology,Ningbo 315000,China) 2(School of Mechanical and Automotive Engineering,Hefei University of Technology,Hefei 230009,China) |
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| Abstract: | According to the insufficiency existed in traditional BP algorithm for sales forecast such as low learn rate,low convergence and falling into local optimization,etc,the improvement measures are proposed.The effectiveness and the convergence of the algorithm are improved by self-adapted learning rate,the adaptability is improved by the additive momentum,and the weight of neural network is optimized by modified genetic algorithm.The large-scale search optimum ability of modified genetic algorithm is used to implement the purpose of fast search optimum and accurate prediction.Finally,an example verifies this algorithm. |
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| Keywords: | BP algorithm Genetic algorithm Sales forecast |
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