| RBF网络和BP网络在海水盐度建模中的比较研究 |
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| 引用本文： | 高国栋,张文孝,慕光宇.RBF网络和BP网络在海水盐度建模中的比较研究[J].海洋通报,2011,30(1):12-15. |
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| 作者姓名： | 高国栋 张文孝 慕光宇 |
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| 作者单位： | 大连海洋大学,机械工程学院,辽宁,大连,116023 |
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| 摘 要： | 介绍了RBF神经网络模型结构、特点及原理,并针对海水盐度参数具有受诸多因素影响的复杂的非线性输入输出特性,训练并建立了海水盐度的RBF(Radial Basis Function)神经网络模型,为海水盐度的预测提供了一种新的方法.与BP神经网络模型相比.该模型具有收敛速度快,精度高的优点.比较结果表明,该方法在海水盐度...
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| 关 键 词： | 盐度 RBF神经网络 建模 仿真 预测 |
A comparative study on RBF network and BP network in the model of salinity |
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| GAO Guo-dong,ZHANG Wen-xiao,MU Guang-yu.A comparative study on RBF network and BP network in the model of salinity[J].Marine Science Bulletin,2011,30(1):12-15. |
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| Authors: | GAO Guo-dong ZHANG Wen-xiao MU Guang-yu |
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| Institution: | GAO Guo-dong,ZHANG Wen-xiao,MU Guang-yu(College of Mechanical Engineering,Dalian Ocean University,Dalian 116023,China) |
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| Abstract: | A new RBF neural network is introduced and at the same time,its' structure,feature and principium are also expatiated.Contrasting with BP neural network model,it has faster convergence and better precision when it is used in the salinity modeling.A BP neural network model is set up and trained in this paper,in order to approach compensate the effects of improve non-linearity.Test proves it is practical and dependable in the field of salinity modeling and has nice applied prospect. |
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| Keywords: | salinity RBF neural network modeling simulation forecast |
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