| 改进的BP算法对网站访问量的预测 |
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| 引用本文： | 杨雪梅,郭家勇.改进的BP算法对网站访问量的预测[J].德州学院学报,2009,25(6):52-55. |
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| 作者姓名： | 杨雪梅 郭家勇 |
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| 作者单位： | 1. 连云港职业技术学院信息工程学院
2. 连云港师范高等专科学校数学系,江苏,连云港,222006 |
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| 摘 要： | 利用BP神经网络进行预测已经取得了很大的进展，但BP神经网络易形成局部极值，算法收敛的速度相对较慢，将遗传算法结合到BP神经网络中可以改善算法收敛速度较慢的问题，利用改进的BP算法对网站访问量进行预测，结果表明运算效率得到了很大的提高，同事也说明了改进方法的可行性．
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| 关 键 词： | BP神经网络 遗传算法 预测 |
The Forecast of Campus Net Date Visit with Improved BP Neural Networks |
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| YANG Xue-mei,GUO Jia-yong.The Forecast of Campus Net Date Visit with Improved BP Neural Networks[J].Journal of Dezhou University,2009,25(6):52-55. |
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| Authors: | YANG Xue-mei GUO Jia-yong |
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| Institution: | YANG Xue--mei ,GUO Jia--yong (1. Department of Computer, Lianyungang Technical College;2. Dept. of Math, , Lianyungang Teachers College, Lianyungang Jiangsu 222006, China) |
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| Abstract: | The forecast making use of BP neural networks to be in progress has already got very big pro gressing , BP neural networks has been easy to form part extremal . Algorithm convergence speed has been relatively slower. Inheritance algorithm can improve the off--speed problem of algorithm convergence to BP in neural networks combining with, the go along making use of the BP algorithm improving to visit amounts to website has forecast. Result has indicated arithmetic efficiency having got very big rise . The colleague has also explained the feasibility improving method |
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| Keywords: | BP neural network GA forecast |
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