Artificial Intelligence in Civil Engineering

被引:140
作者
Lu, Pengzhen [2 ]
Chen, Shengyong [1 ]
Zheng, Yujun [1 ]
机构
[1] Zhejiang Univ Technol, Coll Comp Sci & Technol, Hangzhou 310023, Zhejiang, Peoples R China
[2] Zhejiang Univ Technol, Fac Civil Engn & Architecture, Hangzhou 310023, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
ANT COLONY OPTIMIZATION; SLIDING MODE CONTROL; NEURAL-NETWORK; EXPERT-SYSTEM; COMPRESSIVE STRENGTH; FUZZY-CONTROL; EVOLUTIONARY ALGORITHM; PAVEMENT PERFORMANCE; SEISMIC PROTECTION; CUCKOO SEARCH;
D O I
10.1155/2012/145974
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Artificial intelligence is a branch of computer science, involved in the research, design, and application of intelligent computer. Traditional methods for modeling and optimizing complex structure systems require huge amounts of computing resources, and artificial-intelligence-based solutions can often provide valuable alternatives for efficiently solving problems in the civil engineering. This paper summarizes recently developed methods and theories in the developing direction for applications of artificial intelligence in civil engineering, including evolutionary computation, neural networks, fuzzy systems, expert system, reasoning, classification, and learning, as well as others like chaos theory, cuckoo search, firefly algorithm, knowledge-based engineering, and simulated annealing. The main research trends are also pointed out in the end. The paper provides an overview of the advances of artificial intelligence applied in civil engineering.
引用
收藏
页数:22
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