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Evolutionary Machine Learning Techniques - Algorithms and Applications (Hardcover, 1st ed. 2020) Loot Price: R5,378
Discovery Miles 53 780
Evolutionary Machine Learning Techniques - Algorithms and Applications (Hardcover, 1st ed. 2020): Seyed Ali Mirjalili, Hossam...

Evolutionary Machine Learning Techniques - Algorithms and Applications (Hardcover, 1st ed. 2020)

Seyed Ali Mirjalili, Hossam Faris, Ibrahim Aljarah

Series: Algorithms for Intelligent Systems

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Loot Price R5,378 Discovery Miles 53 780 | Repayment Terms: R504 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Algorithms for Intelligent Systems
Release date: November 2019
First published: 2020
Editors: Seyed Ali Mirjalili • Hossam Faris • Ibrahim Aljarah
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 286
Edition: 1st ed. 2020
ISBN-13: 978-981-3299-89-4
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 981-3299-89-4
Barcode: 9789813299894

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