Evolutionary Algorithms and Neural Networks Theory and Applications
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...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2019, 2019
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| Series: | Studies in Computational Intelligence
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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