This session is dedicated to solutions of the problems in earth sciences based on soft computing techniques. Soft computing techniques such as fuzzy logic, artificial neural networks, genetic algorithms, neuro-fuzzy systems etc. which were first used in design of higher technology products are now being used in many branches of sciences and technologies, and their popularities gradually increase.
Earth sciences aim to describe very complex processes, and are needed new technologies for data analyze. Researches in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, fractal and chaos theory and chaotic systems aiming the solution of problems in earth sciences (estimation of parameters; susceptibility, risk, vulnerability and hazard mapping; interpretation of geophysical measurement results; many kinds of mining applications; etc.) are welcome and invited. This session will provide dissemination of important results of soft computing technologies in earth sciences, and serve as a unifying platform for earth scientists and engineers engaged in this area of interest by linking the ideas and techniques of soft computing with many disciplines of earth sciences.