Evolutionary Machine Learning Techniques PDF Download

Evolutionary Machine Learning Techniques PDF
By:Seyedali Mirjalili,Hossam Faris,Ibrahim Aljarah
Published on 2019-11-11 by Springer Nature

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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.

This Book was ranked at 33 by Google Books for keyword medical computer application algorithm.

Book ID of Evolutionary Machine Learning Techniques's Books is bLm9DwAAQBAJ, Book which was written bySeyedali Mirjalili,Hossam Faris,Ibrahim Aljarahhave ETAG "cBfRxYH8r64"

Book which was published by Springer Nature since 2019-11-11 have ISBNs, ISBN 13 Code is 9789813299900 and ISBN 10 Code is 9813299908

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Book which have "286 Pages" is Printed at BOOK under CategoryTechnology and Engineering

Book was written in en

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