£149.50
This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes genetic algorithms for the automatic and/or intelligent processing and interpretation of geophysical data.
Soft Computing and Intelligent Data Analysis in Oil Exploration
Intelligent Methods with Applications in Volcanology and Seismology
Geophysical Data Analysis and Inverse Theory with MATLAB(R) and Python
Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
Observations, Modeling and Systems Analysis in Geomagnetic Data Interpretation
Geophysical Data Analysis
Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems
Basics of Computational Geophysics
Computational Geo-Electromagnetics
Soft Computing in Engineering
Engineering Applications of Soft Computing
Advanced Methods of Joint Inversion and Fusion of Multiphysics Data