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Research and Application of Artificial Neural Network Algorithm
Author: Tian Gao Meijuan

Publisher: beijing institute of technology press.

Words: 38 1000

Version: 1

Paper: offset paper

Industrial and commercial bank number: 9787564007867

Category: Books >> Computer/Network >; & gt artificial intelligence

Pricing: ¥28.00

brief Introduction of the content

This book systematically introduces the basic theories and methods of neural network, wavelet transform, fuzzy theory, genetic algorithm, simulated annealing algorithm and support vector machine, as well as the combination technology of various methods and their applications in oil and gas exploration and development. The main contents include: the research and application of improved genetic algorithm radial basis function network method, wavelet transform and wavelet neural network method, fuzzy neural network method, improved simulated annealing artificial neural network method and support vector machine method.

This book is mainly based on the author's research results in recent years, focusing on integrating theory with practice, and is characterized by interdisciplinary and multi-algorithm application. This book can be used as a teaching material or self-study book for graduate students majoring in automatic control, computer application, geophysics, oil and gas exploration and development in colleges and universities, and also as a reference book for engineers and technicians in related fields.