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Автор: Alireza Hajian, Peter Styles
Издательство: Springer
Год: 2018
Язык: английский
Формат: pdf (true)
Размер: 26.1 MB
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. The book has four main parts: Neural Networks, Fuzzy Logic, Combination of Neural Networks and Fuzzy Logic, and Genetic Algorithms.
In Part I, Chap. 1 outlines the principles of neural networks (NNs) and their design in MATLAB with practical examples, and in Chap. 2, the application of NNs to geophysical applications is presented with many varied examples.