Evolutionary Machine Learning Techniques : Algorithms and Applications / Seyedali Mirjalili, Hossam Faris, Ibrahim Aljarah, editors.
2020
Q325.5
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Evolutionary Machine Learning Techniques : Algorithms and Applications / Seyedali Mirjalili, Hossam Faris, Ibrahim Aljarah, editors.
ISBN
9789813299900 (electronic book)
9813299908 (electronic book)
9813299894
9789813299894
9813299908 (electronic book)
9813299894
9789813299894
Publication Details
Singapore : Springer, 2020.
Language
English
Description
1 online resource (287 pages).
Call Number
Q325.5
Dewey Decimal Classification
006.3/1
Summary
This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic neural networks, self-optimizing neural networks, radial basis function networks, recurrent neural networks, spiking neural networks, neuro-fuzzy networks, modular neural networks, physical neural networks, and deep neural networks. The book provides essential definitions, literature reviews, and the training algorithms for machine learning using classical and modern nature-inspired techniques. It also investigates the pros and cons of classical training algorithms. It features a range of proven and recent nature-inspired algorithms used to train different types of artificial neural networks, including genetic algorithm, ant colony optimization, particle swarm optimization, grey wolf optimizer, whale optimization algorithm, ant lion optimizer, moth flame algorithm, dragonfly algorithm, salp swarm algorithm, multi-verse optimizer, and sine cosine algorithm. The book also covers applications of the improved artificial neural networks to solve classification, clustering, prediction and regression problems in diverse fields.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Mirjalili, Seyedali.
Faris, Hossam.
Aljarah, Ibrahim.
Faris, Hossam.
Aljarah, Ibrahim.
Series
Algorithms for Intelligent Systems.
Available in Other Form
Evolutionary Machine Learning Techniques : Algorithms and Applications
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources