Neural Networks and Learning Algorithms in MATLAB

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Neural Networks and Learning Algorithms in MATLAB
Περιγραφή: 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.
Συγγραφείς: Ardashir Mohammadazadeh, Mohammad Hosein Sabzalian, Oscar Castillo, Rathinasamy Sakthivel, Fayez F. M. El-Sousy
Resource Type: eBook.
Θέματα: Numerical analysis--Computer programs, Neural networks (Computer science), Artificial intelligence
Categories: COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Engineering (General)
Βάση Δεδομένων: eBook Index
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  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 3500944
RelevancyScore: 962
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 962.24267578125
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RecordInfo BibRecord:
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        Text: English
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      – SubjectFull: Neural networks (Computer science)
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            – D: 01
              M: 01
              Type: published
              Y: 2022
            – D: 12
              M: 12
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