Product Description
by Danial Jahed Armaghani (Guest Editor), Hadi Khabbaz (Guest Editor), Manoj Khandelwal (Guest Editor)
This is a groundbreaking reprint that explores the cutting-edge applications of computational intelligence (CI) in geotechnical and geological engineering. This comprehensive volume draws from the latest research and developments in the field, presenting innovative solutions to complex real-world problems using artificial neural networks, fuzzy logic, evolutionary algorithms, and other CI techniques. The reprint covers a wide range of topics, including soil mechanics, rock mechanics, and foundation engineering. It features in-depth case studies that demonstrate the practical applications of CI in solving challenging geotechnical issues, as well as explores the hybrid CI models that combine multiple techniques for enhanced performance. The reprint also delves into the integration of CI-based, risk-based, and reliability-based techniques with basic theories and concepts in geotechnics and geomechanics. By bridging the gap between traditional geotechnical engineering practices and advanced CI techniques, this reprint paves the way for more efficient, accurate, and innovative solutions in geotechnical engineering. The reprint not only presents the current state-of-the-art CI applications for geotechnical engineering but also provides insights into the future directions and potential advancements. It explores how CI can be applied to the various aspects of geotechnical engineering. This comprehensive approach makes it an essential read for anyone interested in the intersection of CI and geotechnical engineering, offering a broad perspective on the potential of CI to revolutionize the field.
