[1]胡伍生,沙月进.神经网络BP算法的误差分级迭代法[J].东南大学学报(自然科学版),2003,33(3):376-378.[doi:10.3969/j.issn.1001-0505.2003.03.032]
 Hu Wusheng,Sha Yuejin.Error grade iterative method of BP neural networks[J].Journal of Southeast University (Natural Science Edition),2003,33(3):376-378.[doi:10.3969/j.issn.1001-0505.2003.03.032]
点击复制

神经网络BP算法的误差分级迭代法()
分享到:

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
33
期数:
2003年第3期
页码:
376-378
栏目:
测绘与导航
出版日期:
2003-05-20

文章信息/Info

Title:
Error grade iterative method of BP neural networks
作者:
胡伍生 沙月进
东南大学交通学院, 南京 210096
Author(s):
Hu Wusheng Sha Yuejin
College of Transportation, Southeast University, Nanjing 210096, China
关键词:
神经网络 BP算法 迭代 误差分级
Keywords:
neural networks algorithm of BP iterative method error grade
分类号:
P228
DOI:
10.3969/j.issn.1001-0505.2003.03.032
摘要:
本文结合某一工程实例,对BP算法进行了改进,提出了误差分级迭代法.通过实例分析,该方法确能提高收敛速度,克服初始权值的影响,同时,学习样本次序对其影响也不大.因此,该方法能有效地改善BP网络的性能.最后,对误差分级迭代法的工作机理进行了分析.
Abstract:
Through an engineering example, a betterment algorithm of BP network, named “the error grade iterative method”, is innovated. The analysis of the data from the engineering example shows that the new method can speed up the convergence, overcome the influence of the first weights, and reduce the influence of the sequence of study samples. By using the betterment method, the performance of BP neural networks can be improved. At last, the working theory of the error grade iterative method is analyzed.

参考文献/References:

[1] 袁曾任.人工神经元网络及其应用[M].北京:清华大学出版社,1999.1-273.
[2] 胡伍生.GPS精密高程测量的理论与方法及其应用研究[D].南京:河海大学水电学院,2001.33-78.
[3] Leonard J,Kramer M A.Improvement of the back propagation algorithm for training neural networks[J].Computers Chem Engng,1990,14(3):337-341.
[4] Silva F M,Almeida L B.Speeding up back propagation[J].Advanced Neural Networks,1988(1):131-139.
[5] Hornik K.Approximation capability of multilayer feedforward networks[J].Neural Networks,1991(4):251-257.
[6] 胡伍生,华锡生,张志伟.平坦地区转换GPS高程的混合转换法[J].测绘学报,2002,31(2):128-133.
  Hu Wusheng,Hua Xisheng,Zhang Zhiwei.Conversion of GPS height in plainness area by the CF&NNM method [J].Acta Geodaetica et Cartographica Sinica, 2002,31(2):128-133.(in Chinese)
[7] 华锡生,雷伟刚,岳东杰.GPS高程异常模型的优选及分析[J].大坝观测与土工测试,2000,24(4):16-18.
  Hua Xisheng,Lei Weigang,Yue Dongjie.Choiceness and analysis of elevation abnormality models of GPS [J].Dam Observation and Geotechnical Tests,2000, 24(4):16-18.(in Chinese)

相似文献/References:

[1]朱大奇,于盛林.电子电路故障诊断的神经网络数据融合算法[J].东南大学学报(自然科学版),2001,31(6):87.[doi:10.3969/j.issn.1001-0505.2001.06.021]
 Zhu Daqi,Yu Shenglin.Neural Network Data Fusion Algorithm of Circuit Fault Diagnosis[J].Journal of Southeast University (Natural Science Edition),2001,31(3):87.[doi:10.3969/j.issn.1001-0505.2001.06.021]
[2]倪富健,屠伟新,黄卫.基于神经网络技术的路面性能预估模型[J].东南大学学报(自然科学版),2000,30(5):91.[doi:10.3969/j.issn.1001-0505.2000.05.021]
 Ni Fujian,Tu Weixing,Huang Wei.Pavement Performance Forecasting Model by Using Neural Network[J].Journal of Southeast University (Natural Science Edition),2000,30(3):91.[doi:10.3969/j.issn.1001-0505.2000.05.021]
[3]窦东阳,杨建国,李丽娟,等.基于规则的神经网络在模式分类中的应用[J].东南大学学报(自然科学版),2011,41(3):482.[doi:10.3969/j.issn.1001-0505.2011.03.010]
 Dou Dongyang,Yang Jianguo,Li Lijuan,et al.Application of rule-based neural network in pattern classification[J].Journal of Southeast University (Natural Science Edition),2011,41(3):482.[doi:10.3969/j.issn.1001-0505.2011.03.010]
[4]李志刚,邓学钧,陈云鹤,等.基于神经网络的公路边坡冲刷量模拟计算[J].东南大学学报(自然科学版),2002,32(6):960.[doi:10.3969/j.issn.1001-0505.2002.06.030]
 Li Zhigang,Deng Xuejun,Chen Yunhe,et al.Simulated calculation of highway slope erosion based on artificial neural networks[J].Journal of Southeast University (Natural Science Edition),2002,32(3):960.[doi:10.3969/j.issn.1001-0505.2002.06.030]
[5]李建,刘红星,王仲宇.前馈网络构造性设计中基于GP实现神经元激活函数类型优化[J].东南大学学报(自然科学版),2004,34(6):746.[doi:10.3969/j.issn.1001-0505.2004.06.007]
 Li Jian,Liu Hongxing,Wang Zhongyu.Optimizing neuronal activation function types based on GP in constructive FNN design[J].Journal of Southeast University (Natural Science Edition),2004,34(3):746.[doi:10.3969/j.issn.1001-0505.2004.06.007]
[6]黄清.自适应宽带稳健波束形成及神经网络算法[J].东南大学学报(自然科学版),2002,32(2):172.[doi:10.3969/j.issn.1001-0505.2002.02.005]
 Huang Qing.Robust adaptive broadband beamforming and neural network[J].Journal of Southeast University (Natural Science Edition),2002,32(3):172.[doi:10.3969/j.issn.1001-0505.2002.02.005]
[7]吴新根,柏毅,罗立民.一种基于概率神经网络模型的胃病诊断专家系统[J].东南大学学报(自然科学版),1999,29(4):57.[doi:10.3969/j.issn.1001-0505.1999.04.013]
 Wu Xingen,Bai Yi,Luo Limin.A Neural Network Model Based on Bayesian Posterior Probability[J].Journal of Southeast University (Natural Science Edition),1999,29(3):57.[doi:10.3969/j.issn.1001-0505.1999.04.013]
[8]程乃毅,赵显曾.点模式识别ANN的区域分划特征[J].东南大学学报(自然科学版),1995,25(1):69.[doi:10.3969/j.issn.1001-0505.1995.01.013]
 Cheng Naiyi,Zhao Xianzeng,Zhao Xianzeng.Domain Partition Features of ANN for Point Pattem Recognition[J].Journal of Southeast University (Natural Science Edition),1995,25(3):69.[doi:10.3969/j.issn.1001-0505.1995.01.013]
[9]夏又生,黄俊良.一类线性互补问题的神经网络求解[J].东南大学学报(自然科学版),1995,25(6):25.[doi:10.3969/j.issn.1001-0505.1995.06.005]
 Xia Youshen,Huang Junliang.Neural Network for Solving a Class of Linear Complementary Problems[J].Journal of Southeast University (Natural Science Edition),1995,25(3):25.[doi:10.3969/j.issn.1001-0505.1995.06.005]
[10]汤新梁.自由手写体数字识别的神经网方法[J].东南大学学报(自然科学版),1991,21(3):8.[doi:10.3969/j.issn.1001-0505.1991.03.002]
 Tang Xinliang.Handwritten Numeral Recognition Using Neural Networks[J].Journal of Southeast University (Natural Science Edition),1991,21(3):8.[doi:10.3969/j.issn.1001-0505.1991.03.002]
[11]朱明程,徐健,李昆华.采用MCU多层神经网络模型设计探讨[J].东南大学学报(自然科学版),2000,30(2):21.[doi:10.3969/j.issn.1001-0505.2000.02.005]
 Zhu Mingcheng,Xu Jian,Li Kunhua.A Novel Model Design Adopting MCU for Multilayer Neural Network[J].Journal of Southeast University (Natural Science Edition),2000,30(3):21.[doi:10.3969/j.issn.1001-0505.2000.02.005]
[12]李春雨,盛昭瀚.前馈神经网络的逐层优化学习算法[J].东南大学学报(自然科学版),1997,27(1):43.[doi:10.3969/j.issn.1001-0505.1997.01.009]
 [J].Journal of Southeast University (Natural Science Edition),1997,27(3):43.[doi:10.3969/j.issn.1001-0505.1997.01.009]

备注/Memo

备注/Memo:
作者简介: 胡伍生(1965—),男,博士,教授, ws.hu@jlonline.com.
更新日期/Last Update: 2003-05-20