Advances in Computational Intelligence in Geotechnical and Geological Engineering

Dear Colleagues,

The theory, design, implementation and evolution of motivated computational paradigms are the focus of the field known as computational intelligence (CI). CI utilizes algorithms/approaches such as artificial neural networks, fuzzy logic, evolutionary theory, learning theory and probabilistic theory, making it a good and useful fit for real-life complex problems. Due to the complicated interactions created between dependent and independent variables, these techniques can be successfully implemented in different fields of science and engineering.

The Special Issue entitled "Advances in Computational Intelligence in Geotechnical and Geological Engineering" is devoted to the publication of the latest research, design and development of CI solutions (i.e., classification, regression and time series) in the areas of geotechnical, geomechanical and geological engineering. We invite researchers to contribute original research and review articles stimulating the continuing research efforts contributed to applications of recent CI and soft computing methods for solving relevant problems. In addition, research articles in-line with the scientific combination of CI-based, risk-based and reliability-based techniques with basic theories and concepts in geotechnics and geomechanics are highly welcomed.

Dr. Danial Jahed Armaghani
Prof. Dr. Hadi Khabbaz
Dr. Manoj Khandelwal
Dr. Niaz Muhammad Shahani
Dr. Ramesh Murlidhar Bhatawdekar
Guest Editors

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