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Indigo Neurocomputing for Design Automation | Erin Mills Town Centre
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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 process of design for unique engineering systems, such as steel highrise building structures
Applies design theories and models to the solution of structural design problems
Integrates three computing paradigms: mathematical optimization, neural network computing, and parallel processing
The applications described are general enough to be applied directly or by extension to other engineering design problems, such as aerospace or mechanical design. Also, the computational models are shown to be stable and robust - particularly suitable for design automation of large systems, such as a 144-story steel super-highrise building structure with more than 20,000 members.
The book provides an exceptional framework for the automation and optimization of engineering design, focusing on a new computing paradigm - neural networks computing. It presents the automation of complex systems at a new and higher level never achieved before.
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 process of design for unique engineering systems, such as steel highrise building structures
Applies design theories and models to the solution of structural design problems
Integrates three computing paradigms: mathematical optimization, neural network computing, and parallel processing
The applications described are general enough to be applied directly or by extension to other engineering design problems, such as aerospace or mechanical design. Also, the computational models are shown to be stable and robust - particularly suitable for design automation of large systems, such as a 144-story steel super-highrise building structure with more than 20,000 members.
The book provides an exceptional framework for the automation and optimization of engineering design, focusing on a new computing paradigm - neural networks computing. It presents the automation of complex systems at a new and higher level never achieved before.
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