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Type: BOOK - Published: 2023-11-01 - Publisher: Springer Nature
This book, written by leading international researchers of evolutionary approaches to machine learning, explores various ways evolution can address machine lear
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Type: BOOK - Published: 2020-12-30 - Publisher: Wiley-IEEE Press
This book covers the details of concepts, the methods and the challenges of evolutionary deep neural networks design. The authors begin by providing a brief int
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Type: BOOK - Published: 2020-05-20 - Publisher: Springer Nature
This book delivers the state of the art in deep learning (DL) methods hybridized with evolutionary computation (EC). Over the last decade, DL has dramatically r
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Type: BOOK - Published: 2016-07-13 - Publisher: John Wiley & Sons
Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundame