عنوان
پدید آورنده
موضوع
رده
QC808.6
QC808
.
6
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
3319665316
(Number (ISBN
3319665324
(Number (ISBN
9783319665313
(Number (ISBN
9783319665320
Erroneous ISBN
9783319665313
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Application of soft computing and intelligent methods in geophysics /
General Material Designation
[Book]
First Statement of Responsibility
Alireza Hajian, Peter Styles.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2018.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
SERIES
Series Title
Springer geophysics
CONTENTS NOTE
Text of Note
Intro; Preface; Contents; Neural Networks; 1 Artificial Neural Networks; 1.1 Introduction; 1.2 A Brief Review of ANN Applications in Geophysics; 1.3 Natural Neural Networks; 1.4 Definition of Artificial Neural Network (ANN); 1.5 From Natural Neuron to a Mathematical Model of an Artificial Neuron; 1.6 Classification into Two Groups as an Example; 1.7 Extracting the Delta-Rule as the Basis of Learning Algorithms; 1.8 Momentum and Learning Rate; 1.9 Statistical Indexes as a Measure of Learning Error; 1.10 Feed-Forward Back-Propagation Neural Networks.
Text of Note
1.11 A Guidance Checklist for Step-by-Step Design of a Neural Network1.12 Important Factors in Designing a MLP Neural Network; 1.12.1 Determining the Number of Hidden Layers; 1.12.2 Determination of the Number of Hidden Neurons; 1.13 How Good Are Multi-layer Per Feed-Forward Networks?; 1.14 Under Training and Over Fitting; 1.15 To Stop or not to Stop, that Is the Question! (When Should Training Be Stopped?!); 1.16 The Effect of the Number of Learning Samples; 1.17 The Effect of the Number of Hidden Units; 1.18 The Optimum Number of Hidden Neurons; 1.19 The Multi-start Approach.
Text of Note
1.20 Test of a Trained Neural Network1.20.1 The Training Set; 1.20.2 The Validation Set; 1.20.3 The Test Set; 1.20.4 Random Partitioning; 1.20.5 User-Defined Partitioning; 1.20.6 Partition with Oversampling; 1.20.7 Data Partition to Test Neural Networks for Geophysical Approaches; 1.21 The General Procedure for Testing of a Designed Neural Network in Geophysical Applications; 1.22 Competitive Networks-The Kohonen Self-organising Map; 1.22.1 Learning in Biological Systems-The Self-organising Paradigm; 1.22.2 The Architecture of the Kohonen Network; 1.22.3 The Kohonen Network in Operation.
Text of Note
1.22.4 Derivation of the Learning Rule for the Kohonen Net1.22.5 Training the Kohonen Network; 1.22.5.1 The Kohonen Algorithm; 1.22.5.2 Learning Vector Quantisation (LVQ); 1.22.6 Training Issues in Kohonen Neural Nets; 1.22.6.1 Vector Normalisation; 1.22.6.2 Weight Initialisation; 1.22.6.3 Reducing Neighbourhood Size; 1.22.7 Application of the Kohonen Network in Speech Processing-Kohonen's Phonetic Typewrite; 1.23 Hopfield Network; 1.24 Generalized Regression Neural Network (GRNN); 1.24.1 GRNN Architecture; 1.24.2 Algorithm for Training of a GRNN; 1.24.3 GRNN Compared to MLP.
Text of Note
1.25 Radial Basis Function (RBF) Neural Networks1.25.1 Radial Functions; 1.25.2 RBF Neural Networks Architecture; 1.26 Modular Neural Networks; 1.27 Neural Network Design and Testing in MATLAB; References; 2 Prior Applications of Neural Networks in Geophysics; 2.1 Introduction; 2.2 Application of Neural Networks in Gravity; 2.2.1 Depth Estimation of Buried Qanats Using a Hopfield Network; 2.2.1.1 Extraction of Cost Function for Hopfield Neural Network; 2.2.1.2 Synthetic Data and the Hopfield Network Estimator in Practical Cases; 2.2.1.3 Conclusions.
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8
8
8
8
SUMMARY OR ABSTRACT
Text of Note
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.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9783319665320
OTHER EDITION IN ANOTHER MEDIUM
International Standard Book Number
9783319665313
TOPICAL NAME USED AS SUBJECT
Artificial intelligence-- Geophysical applications.
Geophysics-- Data processing.
Artificial intelligence-- Geophysical applications.
Artificial intelligence.
Economic geology.
Geophysics-- Data processing.
Geophysics.
Mathematical modelling.
Maths for computer scientists.
SCIENCE-- Earth Sciences-- General.
(SUBJECT CATEGORY (Provisional
PHVG
SCI-- 019000
DEWEY DECIMAL CLASSIFICATION
Number
557
.
3
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QC808
.
6
PERSONAL NAME - PRIMARY RESPONSIBILITY
Hajian, Alireza
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Styles, Peter
ORIGINATING SOURCE
Date of Transaction
20200823102341.0
Cataloguing Rules (Descriptive Conventions))
pn
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
