Artificial Intelligence in Earthquake Engineering

Pijush Samui

ISBN 10: 3843378193 / ISBN 13: 9783843378192

Published by LAP LAMBERT Academic Publishing Nov 2010, 2010

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -Earthquake engineers particularly in seismology and geotechnical engineering use a lot of empirical formulas to solve various earthquake engineering problems. These empirical formulas have lot of uncertainty. So, the available empirical formulas are not so reliable. This uncertainly can be minimized by using these new AI techniques. Therefore earthquake engineers should familiar with these new AI techniques. They can use the proposed book to know the application of these new AI techniques for different earthquake engineering problems. The application of these new AI techniques is very limited in earthquake engineering. These new techniques have been proved better than ANN in other engineering fields. So, it is necessary to investigate the feasibility of these new AI techniques in earthquake engineering. 116 pp. Englisch.

Seller Inventory # 9783843378192

Bibliographic Details

• Title: Artificial Intelligence in Earthquake Engineering
• Publisher: LAP LAMBERT Academic Publishing Nov 2010
• Publication Date: 2010
• Language: English
• ISBN 10: 3843378193
• ISBN 13: 9783843378192
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 191 grams

About this title

Synopsis

Earthquake engineers particularly in seismology and geotechnical engineering use a lot of empirical formulas to solve various earthquake engineering problems. These empirical formulas have lot of uncertainty. So, the available empirical formulas are not so reliable. This uncertainly can be minimized by using these new AI techniques. Therefore earthquake engineers should familiar with these new AI techniques. They can use the proposed book to know the application of these new AI techniques for different earthquake engineering problems. The application of these new AI techniques is very limited in earthquake engineering. These new techniques have been proved better than ANN in other engineering fields. So, it is necessary to investigate the feasibility of these new AI techniques in earthquake engineering.

About the Author

Dr. Pijush Samui is an associate professor at Center for Disaster Mitigation and Management in VIT University, Vellore, India. He has published 60 technical papers in journals and conferences. He is elected fellow member in International Congress for Disaster Mitigation and Management and Earth Science India.