Simulating the Thermal Behavior of Buildings Using Artificial Neural Networks-Based Coarse-Grain Modeling-Reference-Cited by-同舟云学术

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Simulating the Thermal Behavior of Buildings Using Artificial Neural Networks-Based Coarse-Grain Modeling

Published:2004-07 Issue:3 Volume:18 Page:207-214
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Flood Ian¹,Issa Raja R A²,Abi-Shdid Caesar³

Affiliation:

1. Holland Associate Professor, Rinker School, Univ. of Florida, Gainesville, FL 32611.

2. Professor and Director Graduate Program, Rinker School, Univ. of Florida, Gainesville, FL 32611.

3. Doctoral Student, Rinker School, Univ. of Florida, Gainesville, FL 32611.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290887-3801%282004%2918%3A3%28207%29

Reference10 articles.

1. Chen C. J. Bernatz R. Carlson K. D. and Lin W. (2000). Finite analytic method in flows and heat transfers Taylor and Francis New York.

2. Extrapolation of Mackey-Glass data using Cascade Correlation

3. Flood I. (1991). “A Gaussian-based feedforward network architecture and complementary training algorithm.” Proc. Int. Joint Conf. on Neural Networks 1 Singapore IEEE New York and INNS Middleton Wis. 171–176.

4. Modeling dynamic engineering processes using radial-Gaussian neural networks.;Flood I.;J. Intell. Fuzzy Syst.,1999

5. Flood I. and Worley K. (1995). “An artificial neural network approach to discrete-event simulation.” Artificial intelligence for engineering design analysis and manufacturing 9 Cambridge University Press Cambridge England 37–49.

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