| Research on a Neural Network Approach Based Diagnosis Expert System of Crack Control in Massive Concrete |
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| 作者姓名： | HAN Liu-xin WANG Huan-chen \ ZHANG Xian-hui .Institute of Systems Engineering Shanghai Jiaotong University Shanghai China .Shanghai Yongye Enterprise |
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| 摘 要： | 1 IntroductionConcrete is the mostconventional construction material,and crack in concrete structures isa universal technical problem.Cracks in concrete have many causes.They may affectappearance only,orthey may indicate significantstructural distress ora lack ofdurability.Cracks may represent the total extent of the damage,or they may point to problems ofgreater magnitude.Their significance depends on the type of structure,as well as thenature of the cracking.The proper repair of cracks de…
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Research on a Neural Network Approach Based Diagnosis Expert System of Crack Control in Massive Concrete |
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| HAN Liu-xin ,WANG Huan-chen ,\ ZHANG Xian-hui .Institute of Systems Engineering,Shanghai Jiaotong University,Shanghai ,China .Shanghai Yongye Enterprise.Research on a Neural Network Approach Based Diagnosis Expert System of Crack Control in Massive Concrete[J].Journal of Systems Science and Systems Engineering,2001,10(3). |
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| Authors: | HAN Liu-xin WANG Huan-chen ZHANG Xian-hui |
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| Institution: | 1. Institute of Systems Engineering, Shanghai Jiaotong University, Shanghai 200052, China
2. Shanghai Yongye Enterprise GroupCo., Ltd,200021 |
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| Abstract: | A detailed study of the capabilities of artificial neural networks to diagnoses cracks in massive concrete structures is presented. This paper includes the components of the expert system such as design thought, basic structure, building of knowledge base and the implementation of neural network applied model. The realizing method of neural network based clustering algorithm in the knowledge base and self study is analyzed emphatically and stimulated by means of the computer. From the above study, some important conclusions have been drawn and some new viewpoints have been suggested. |
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| Keywords: | neural network approach expert system crack control |
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