DocumentCode :
3317707
Title :
BP-based intelligent case retrieval method of high-rise structure form selection
Author :
Shihai Zhang ; Liang, Xiushan ; Shujun Liu ; Jinping Ou
Author_Institution :
Dept. of Civil Eng., Nanyang Inst. of Technol.
Volume :
2
fYear :
2006
fDate :
3-6 Nov. 2006
Firstpage :
1418
Lastpage :
1422
Abstract :
Establishing a case retrieval algorithm is the key step of the high-rise structure intelligent form optimization (IFO) based on case based reasoning (CBR). First, analyzes the defects of the traditional case retrieval method (CRM) based on typical distance and the characteristics of architecture structure case retrieval, an improved BP-based intelligent CRM was established and the topological structure and algorithm of the neural network was presented. Next, based on four target cases and twenty-five source cases, the training and forecast of the improved BP-based case retrieval was provided. Finally, the engineering application was given. The result shows: this intelligent CRM can overcome such shortcomings as poor learning ability, low searching efficiency and intelligent level, etc., providing comparatively more scientific method for the CRM of high-rise structure IFO
Keywords :
backpropagation; case-based reasoning; information retrieval; neural nets; structural engineering computing; architecture structure; backpropagation; case based reasoning; high-rise structure form selection; intelligent case retrieval; intelligent form optimization; learning; neural network; Algorithm design and analysis; Artificial intelligence; Civil engineering; Floors; Intelligent networks; Intelligent structures; Libraries; Nearest neighbor searches; Neural networks; Optimization methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
Type :
conf
DOI :
10.1109/ICCIAS.2006.295294
Filename :
4076200
Link To Document :
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