Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment

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...

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Main Authors: Gaige Wang, Lihong Guo, Hong Duan
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/632437
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author Gaige Wang
Lihong Guo
Hong Duan
author_facet Gaige Wang
Lihong Guo
Hong Duan
author_sort Gaige Wang
collection DOAJ
description 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 , 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.
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institution Kabale University
issn 1537-744X
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-b4642058e5b640f4874a8686aeed5b592025-02-03T05:44:43ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/632437632437Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat AssessmentGaige Wang0Lihong Guo1Hong Duan2Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaSchool of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, ChinaTarget 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 , 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.http://dx.doi.org/10.1155/2013/632437
spellingShingle Gaige Wang
Lihong Guo
Hong Duan
Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment
The Scientific World Journal
title Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment
title_full Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment
title_fullStr Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment
title_full_unstemmed Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment
title_short Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment
title_sort wavelet neural network using multiple wavelet functions in target threat assessment
url http://dx.doi.org/10.1155/2013/632437
work_keys_str_mv AT gaigewang waveletneuralnetworkusingmultiplewaveletfunctionsintargetthreatassessment
AT lihongguo waveletneuralnetworkusingmultiplewaveletfunctionsintargetthreatassessment
AT hongduan waveletneuralnetworkusingmultiplewaveletfunctionsintargetthreatassessment