240 Pages
by
CRC Press
240 Pages
by
CRC Press
Also available as eBook on:
Neurocomputing for Design Automation provides innovative design theories and computational models with two broad objectives: automation and optimization. This singular book: Presents an introduction to the automation and optimization of engineering design of complex engineering systems using neural network computing Outlines new computational models and paradigms for automating the complex... Read more
Introduction
Counter Propagation Neural Network in Structural Engineering
Neural Dynamics Model for Structural Optimization - A Theory
Application of the Neural Dynamics Model to the Plastic Design of Structures
Nonlinear Neural Dynamics Model Optimization of Space Structures
Hybrid CPN-Neural Dynamics Model for Discrete Optimization of Steel Structures
Data Parallel Neural Dynamics Model for Design Optimization for Integrated Design of Large Steel Structures
Distributed Neural Dynamics Algorithms for Optimization of Large Steel Structures
References
Counter Propagation Neural Network in Structural Engineering
Neural Dynamics Model for Structural Optimization - A Theory
Application of the Neural Dynamics Model to the Plastic Design of Structures
Nonlinear Neural Dynamics Model Optimization of Space Structures
Hybrid CPN-Neural Dynamics Model for Discrete Optimization of Steel Structures
Data Parallel Neural Dynamics Model for Design Optimization for Integrated Design of Large Steel Structures
Distributed Neural Dynamics Algorithms for Optimization of Large Steel Structures
References
Biography
Hyo Seon Park
"The authors show how these models can also be applied to aerospace, mechanical and electronic designs because these disciplines share two characteristics: they are open ended..."-Civil Engineering, February 1999
