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Springer Intelligent Computing for Sustainable Systems Book

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Description

Explore advanced solution paradigms in this Springer publication from the Proceedings in Adaptation, Learning and Optimization series. This volume covers essential technologies including artificial neural networks, support vector machines, wavelet transforms, evolutionary computing, and swarm intelligence. As modern research shifts toward human and species intelligence, this book addresses the rise of flexible, unconventional approaches to problem-solving. Designed for researchers, academicians, industry professionals, and students, the text provides insights into new analytical tools developed for big data processing and smart decision making. It serves as a comprehensive resource for understanding how intelligent computing techniques are applied to real-world systems to create sustainable solutions.

Key Features

Covers diverse solution paradigms such as artificial neural networks and support vector machines.

Explores evolutionary computing and swarm intelligence for unconventional problem-solving approaches.

Provides information on new analytical tools used for big data processing and smart decision making.

Part of the Proceedings in Adaptation, Learning and Optimization series published by Springer.

Designed to assist researchers, students, and industry professionals with intelligent computing applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
04 April 2020
Listed Since
03 March 2020

Barcode

No barcode data available

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