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mohammadazadeh ardashir; sabzalian mohammad hosein; castillo oscar; sakthivel rathinasamy; el-sousy fayez f. m.; mobayen saleh - neural networks and learning algorithms in matlab

Neural Networks and Learning Algorithms in MATLAB

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 12/2022
Edizione: 1st ed. 2022





Trama

This book explains the basic concepts, theory and applications of neural networks in a simple unified approach with clear examples and simulations in the MATLAB programming language. The scripts herein are coded for general purposes to be easily extended to a variety of problems in different areas of application. They are vectorized and optimized to run faster and be applicable to high-dimensional engineering problems. This book will serve as a main reference for graduate and undergraduate courses in neural networks and applications. This book will also serve as a main basis for researchers dealing with complex problems that require neural networks for finding good solutions in areas, such as time series prediction, intelligent control and identification. In addition, the problem of designing neural network by using metaheuristics, such as the genetic algorithms and particle swarm optimization, with one objective and with multiple objectives, is presented.






Sommario

Chapter 1. Introduction.- Chapter 2. Multilayer Perceptron (MLP) Neural Networks.- Chapter 3- Neural Networks Training Based on Recursive Least Squares (RLS).- Chapter 4. Neural Networks Training Based on Second-Order Optimization Technique.- Chapter 5. Neural Networks Training Based on Genetic Algorithm.- Chapter 6. Neural Network Training Based on Particle Swarm Optimization (PSO).- Chapter 7- Neural Network Training Based on UKF.- Chapter 8. Designing Neural-Fuzzy PID Controller through Multiobjective Optimization.










Altre Informazioni

ISBN:

9783031145704

Condizione: Nuovo
Collana: Synthesis Lectures on Intelligent Technologies
Dimensioni: 240 x 168 mm
Formato: Copertina rigida
Illustration Notes:IX, 117 p. 105 illus., 87 illus. in color.
Pagine Arabe: 117
Pagine Romane: ix


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