Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment

	Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment
	Wang G. G.; Guo L. H.; Duan H.
	2013
发表期刊	Scientific World Journal
ISSN	ISBN/1537-744X
卷号	7
摘要	Target threat assessment is a key issue in the collaborative attack. To improve the accuracy and usefulness of target threat assessment in the aerial combat, we propose a variant of wavelet neural networks, MWFWNN network, to solve threat assessment. How to select the appropriate wavelet function is difficult when constructing wavelet neural network. This paper proposes a wavelet mother function selection algorithm with minimum mean squared error and then constructs MWFWNN network using the above algorithm. Firstly, it needs to establish wavelet function library; secondly, wavelet neural network is constructed with each wavelet mother function in the library and wavelet function parameters and the network weights are updated according to the relevant modifying formula. The constructed wavelet neural network is detected with training set, and then optimal wavelet function with minimum mean squared error is chosen to build MWFWNN network. Experimental results show that the mean squared error is 1.23 x 10(-3), which is better than WNN, BP, and PSO_SVM. Target threat assessment model based on the MWFWNN has a good predictive ability, so it can quickly and accurately complete target threat assessment.
收录类别	SCI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/40931
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Wang G. G.,Guo L. H.,Duan H.. Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment[J]. Scientific World Journal,2013,7.
APA	Wang G. G.,Guo L. H.,&Duan H..(2013).Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment.Scientific World Journal,7.
MLA	Wang G. G.,et al."Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment".Scientific World Journal 7(2013).

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