Adaptive Probabilistic Neural Network-based Crane Type Selection System-Reference-Cited by-同舟云学术

Adaptive Probabilistic Neural Network-based Crane Type Selection System

Published:2002-06 Issue:3 Volume:128 Page:265-273
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Sawhney Anil¹,Mund André²

Affiliation:

1. Associate Professor, Del E. Webb School of Construction, Arizona State Univ., P.O. Box 870204, Tempe, AZ 85287-0204.

2. Graduate Research Associate, Del E. Webb School of Construction, Arizona State Univ., P.O. Box 870204, Tempe, AZ 85287-0204.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9364%282002%29128%3A3%28265%29

Reference16 articles.

1. Bose N. K. and Liang P. (1996). Neural network fundamentals with graphs algorithms and applications McGraw-Hill New York.

2. Chen C. H. (1996). Fuzzy logic and neural network handbook C. H. Chen ed. McGraw-Hill New York.

3. Chester M. (1993). Neural networks—A tutorial Prentice-Hall Englewood Cliffs N.J.

4. Data & Analysis Center for Software (DACS). (1992). “ Artificial neural networks technology .” Dept. of Defense Rome N.Y. 〈http://www.dacs.dtic.mil/techs/neural/neuralToC.html〉 (May 14 1999).

5. Faghri A. and Hua J. (1998). “A neural network–based traffic control system for isolated intersections.” Artificial neural networks for civil engineers: Advanced features and applications I. Flood and N. Kartam eds. ASCE Reston Va. 35–52.

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