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BP神经网络初始化方法研究
引用本文:范业仙,叶茂枝. BP神经网络初始化方法研究[J]. 韶关学院学报, 2013, 0(12): 18-21
作者姓名:范业仙  叶茂枝
作者单位:宁德师范学院计算机系,福建宁德352100
基金项目:宁德师范学院“服务海西建设”项目(2012H406).
摘    要:提出一种等比例系数型BP神经网络权值和阈值的初始化方法,该方法可将S型传递函数的自变量转化到区间[0,1)上,从而提高网络的收敛性能.从理论上证明了该方法的可行,并通过非线性函数y=x12+x22的拟合实验,证明了该方法是有效的.

关 键 词:BP神经网络  权值  阈值  初始化

Study on the BP neural network initialization
FAN Ye-xian,YE Mao-zhi. Study on the BP neural network initialization[J]. Journal of Shaoguan University(Social Science Edition), 2013, 0(12): 18-21
Authors:FAN Ye-xian  YE Mao-zhi
Affiliation:(Department of Computer, Ningde Normal University, Ningde 352100, Fujian, China)
Abstract:The paper presents an initialized method of equal-scaling coefficient type based on BP neural network weights and thresholds, which can convert the independent variable of sigmoid transfer function to the interval I0,1 ), thereby improving the convergence performance of the network. It is theoretically proved that the method is feasible, and it shows that the method is effective proved by fitting experiments on the non-linear functiony=xl2+X22.
Keywords:BP neural network  weights  threshold  initialization
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