Diagnosis of prestressed concrete pile defects using probabilistic neural networks

Engineering Structures

Volumn 26, Issue 8, 2004, Pages 1155-1162

  Tam, C M ^a   Tong, Thomas K L ^a   Lau, Tony C T ^a   Chan, K K ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Pile diagnosis; Probabilistic neural networks; Random seeds cross validation

Indexed keywords

ALGORITHMS; ARCHITECTURAL DESIGN; CONCRETES; MATHEMATICAL MODELS; NEURAL NETWORKS; PILES; PROBABILITY DENSITY FUNCTION; PROBLEM SOLVING;

BACK-PROPOGATION LEARNING ALGORITHM; CONCRETE PILE DEFECTS;

STRUCTURAL DESIGN;

ARTIFICIAL NEURAL NETWORK; DEFECT; PILE;

EID: 2942729423     PISSN: 01410296     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engstruct.2004.03.018     Document Type: Article

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