Comparison of neural network and binary logistic regression methods in conceptual design of tall steel buildings-Reference-Cited by-同舟云学术

Comparison of neural network and binary logistic regression methods in conceptual design of tall steel buildings

Published:2007-07-17 Issue:3 Volume:7 Page:240-253
ISSN:1471-4175
Container-title:Construction Innovation
language:en
Short-container-title:Construction Innovation

Author:

Al Nageim Hassan,Nagar Ravindra,Lisboa Paulo J.G.

Publisher

Emerald

Subject

Building and Construction,Architecture,Civil and Structural Engineering,General Computer Science,Control and Systems Engineering

Reference14 articles.

1. A Backpropagation Neural Network Model for Semi-rigid Steel Connections

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3. Machine Learning of Design Rules: Methodology and Case Study

4. Evaluation of factors affecting time and cost performance in Hong Kong building projects

5. Goh, A.T.C. (1995), “Prediction of ultimate shear strength of deep beams using neural networks”,ACI Structural Journal (US), Vol. 91 No. 1, pp. 28‐32.

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