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Intelligent and Soft Computing in Infrastructure Systems Engineering: Recent Advances

Posted By: AvaxGenius
Intelligent and Soft Computing in Infrastructure Systems Engineering: Recent Advances

Intelligent and Soft Computing in Infrastructure Systems Engineering: Recent Advances by Kasthurirangan Gopalakrishnan, Halil Ceylan, Nii O. Attoh-Okine
English | PDF(True) | 2009 | 330 Pages | ISBN : 3642045855 | 13.6 MB

The term “soft computing” applies to variants of and combinations under the four broad categories of evolutionary computing, neural networks, fuzzy logic, and Bayesian statistics. Although each one has its separate strengths, the complem- tary nature of these techniques when used in combination (hybrid) makes them a powerful alternative for solving complex problems where conventional mat- matical methods fail. The use of intelligent and soft computing techniques in the field of geo- chanical and pavement engineering has steadily increased over the past decade owing to their ability to admit approximate reasoning, imprecision, uncertainty and partial truth. Since real-life infrastructure engineering decisions are made in ambiguous environments that require human expertise, the application of soft computing techniques has been an attractive option in pavement and geomecha- cal modeling.

Computational Intelligence: Collaboration, Fusion and Emergence (Repost)

Posted By: AvaxGenius
Computational Intelligence: Collaboration, Fusion and Emergence (Repost)

Computational Intelligence: Collaboration, Fusion and Emergence by Christine L. Mumford
English | PDF | 2009 | 723 Pages | ISBN : 3642017983 | 13.54 MB

This book is the first in a new series entitled "Intelligent Systems Reference Library". It is a collection of chapters written by leading experts, covering a rich and diverse variety of computer-based techniques, all involving some aspect of computational intelligence (CI). Authors in this collection recognize the limitations of individual paradigms, and propose some practical and novel ways in which different CI techniques can be combined with each other, or with more traditional computational techniques, to produce powerful problem-solving environments.