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Evolutionary Machine Learning Techniques - 9789813299894

Description: Evolutionary Machine Learning Techniques Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Algorithms and Applications Author(s): Seyedali Mirjalili, Hossam Faris, Ibrahim Aljarah Format: Hardback Publisher: Springer Verlag, Singapore, Singapore Imprint: Springer Verlag, Singapore ISBN-13: 9789813299894, 978-9813299894 Synopsis 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.

Price: 127.42 GBP

Location: Aldershot

End Time: 2024-08-27T10:59:26.000Z

Shipping Cost: 32.7 GBP

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Evolutionary Machine Learning Techniques - 9789813299894

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Book Title: Evolutionary Machine Learning Techniques

Item Height: 235 mm

Item Width: 155 mm

Series: Algorithms for Intelligent Systems

Author: Ibrahim Aljarah, Hossam Faris, Seyedali Mirjalili

Publication Name: Evolutionary Machine Learning Techniques: Algorithms and Applications

Format: Hardcover

Language: English

Publisher: Springer Verlag, Singapore

Subject: Computer Science, Mathematics

Publication Year: 2019

Type: Textbook

Item Weight: 612 g

Number of Pages: 286 Pages

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