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《ACTA ELECTRONICA SINICA》 2000-01
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A Constraint Satisfaction Neural Network

GUO Bao-long; GUO Lei; DAI Guan-Zhong (Dept. of Measurement Control and Instrument, Xidian University Xi'an 710071, China; Dept. of Automatic Control, Northwest Polytechnic University, Xi'an 710072, China)  
Although the operating of a general artificial neural network (NN) can eliminate the superior contradiction, its solution still contains the inferior contradiction [8~11] which is unacceptable for actual problems such as the constraint satisfaction problems (CSPs) that contain contradictions. For this reason, a constraint satisfaction neural network (CSNN) based on the logical analytic theory of NNs is presented,which is composed of a general need network named a basic network and a coned system which has the adaptability to cope with complex problems.The former provides the necessary constraints and the lathe gives the closed-open control for the constraints inside the basic network. Since contradictions in many natural problems are often inevitable, the property of the CSNN is of great significance for intelligent problems.
【Fund】: 国家自然科学基金;; 国家高技术计划!(863)
【CateGory Index】: TP183
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【Co-citations】
Chinese Journal Full-text Database 6 Hits
1 FEI Pei-yan1, GUO Bao-long1, MENG Fan-jie1, ZHANG Zheng-yu2, ZHANG Xiao-long2 1Department of Measurement & Control Engineering, Xidian University, Xi’an, Shaanxi 710071, China 2North China Research Institute of Electronic Optics, Beijing 100015, China;Target Extraction of Underwater Laser Image Based on Statistic Counteraction[J];Chinese Journal of Lasers;2004-07
2 Wang Yuru,Wang Yinghua Qu shouning,Cheng Xiefeng (College of Information Science and Engineering Jinan University, Shandong Jinan 250022);The Development of study on the Ability of Neural Network Inference[J];Journal of Shandong Institute of Building Materials;2001-03
3 FAN Qiu-feng ZHAI Ya-fang ZHOU Wei-dong (Department of Electronic, Information and Electrical Engineering Anyang Institute of Technology, Anyang, 455000; Yellow River Engineering Consulting co. Ltd, Zhengzhou, 450003);Comparative Study of Image denoising Based onWavelet and Wavelet Packet[J];Science and Technology of West China;2007-15
4 FEI Pei-yan1,GUO Bao-long1,ZHANG Zheng-yu2(1. School of Mechan-electronic Engineering, Xidian Univ., Xi′an710071, China;2. North China Research Institute of Electronic Optics, Beijing100015, China);Image denoising based on the dyadic wavelet transform[J];Journal of Xidian University;2003-04
5 MENG Fan-jie,GUO Bao-long(School of Electromechanical Engineering, Xidian Univ., Xi′an710071, China);A novel image retrieval algorithm based on the color anddistribution of interest points[J];Journal of Xidian University;2005-02
6 FEI Pei yan, GUO Bao long (Department of Measurement & Control Engineering, Xidian University, Xi’an 710071);A Study on Multiwavelet-based Image Denoising[J];Journal of Image and Graphics;2005-01
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1 L Zhengdong\ YAN Pingfan. Tsinghua University, Beijing 100084;Utilizing Oscillator Neural Network to Implement Multi-Resolution Pattern Recognition[J];Beijing Biomedical Engineering;2002-02
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