Evolutionary Algorithms and Neural Networks

Theory and Applications

Seyedali Mirjalili (Autor)

Buch | Hardcover

XIV, 156 Seiten

2018 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-319-93024-4 (ISBN)

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This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At first, the book offers a literature review of several well-regarded evolutionary algorithms, including particle swarm and ant colony optimization, genetic algorithms and biogeography-based optimization. It then proposes evolutionary version of several types of neural networks such as feed forward neural networks, radial basis function networks, as well as recurrent neural networks and multi-later perceptron. Most of the challenges that have to be addressed when training artificial neural networks using evolutionary algorithms are discussed in detail. The book also demonstrates the application of the proposed algorithms for several purposes such as classification, clustering, approximation, and prediction problems. It provides a tutorial on how to design, adapt, and evaluate artificial neural networks as well, and includes source codes for most of the proposed techniques as supplementary materials.

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Part I: Evolutionary algorithms.- Introduction to Evolutionary Single-objective Optimisation.- Particle Swarm Optimisation.- Ant Colony Optimization.- Genetic Algorithm.- Biogeography-Based Optimization.- Part II: Evolutionary Neural Networks.- Evolutionary Feedforward Neural Networks.- Evolutionary Multi-Layer Perceptron.- Evolutionary Radial Basis Function Networks.- Evolutionary Deep Neural Networks.

Erscheinungsdatum	14.07.2018
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XIV, 156 p. 68 illus., 60 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	384 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Technik
Schlagworte	Applied Neural Networks • Backpropagation Algorithms • Binary PSO Algorithms • Deep Neural Networks for Image Classification • Estimation of a Global Optimum • Evolutionary Computation for Real-world Problems • Evolutionary Operators • Hand Posture/Gesture Detection Using Neural Networ • Hand Posture/Gesture Detection Using Neural Networks • Mathematical Model of PSO • Optimal Set of Features • Optimization for Real World Problems • Population-based Optimization Algorithms • Single-objective Optimization Algorithm • Stochastic Optimization Algorithms • Training Algorithms for Neural Networks • Training Neural Networks with Genetic Algorithms
ISBN-10	3-319-93024-9 / 3319930249
ISBN-13	978-3-319-93024-4 / 9783319930244
Zustand	Neuware