| 输入空间自优化神经网络的研究及其在声信号车型分类中的应用 |
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| 引用本文： | 赵丽华.输入空间自优化神经网络的研究及其在声信号车型分类中的应用[J].科学技术与工程,2010,10(30). |
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| 作者姓名： | 赵丽华 |
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| 作者单位： | 东北石油大学电子科学学院,大庆,163318 |
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| 摘 要： | 摘要：本文提出了神经网络结构自优化的新理念，并主要介绍输入空间自优化的概念及输入空间自优化神经网络的基本思想和基本算法。用Matlab 7.0编写了输入空间自优化神经网络的程序，并将输入空间自优化神经网络应用于高速公路的汽车车型的分类中，提高了参数优化的速度，同时也降低了神经网络的运算量，解决了实际问题。
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| 关 键 词： | 神经网络 输入空间自优化 BP网络 u检验 AR参数模型 |
| 收稿时间： | 7/31/2010 8:58:43 PM |
| 修稿时间： | 8/5/2010 3:02:05 PM |
The research of input space self-optimal neural network and its application |
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| zhaolihua.The research of input space self-optimal neural network and its application[J].Science Technology and Engineering,2010,10(30). |
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| Authors: | zhaolihua |
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| Institution: | ZHAO Li-hua(Northeast Petroleum University,Electronic Science College,Daqing 163318,P.R.China) |
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| Abstract: | Abstract:This dissertation puts forward the new conception of structure self-optimal neural network, and mainly introduces the definition of input space self-optimal as well as the basic thought and basic algorithm of input space self-optimal neural network. The dissertation compile program for the input space self-optimal neural network with Matlab7.0, and applies it to identifying the vehicle model on highway, which can increase the speed of parameter optimization and decreases the calculation of neural network, thus solves the actual problem. |
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| Keywords: | Neural Network Input Space Self-optimization BP Network u test AR Parameter Model |
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