Self-adaptive systems for machine intelligence - Info and Reading Options
By Haibo He
"Self-adaptive systems for machine intelligence" was published by Wiley-Interscience in 2011 - Hoboken, N.J and the language of the book is English.
“Self-adaptive systems for machine intelligence” Metadata:
- Title: ➤ Self-adaptive systems for machine intelligence
- Author: Haibo He
- Language: English
- Publisher: Wiley-Interscience
- Publish Date: 2011
- Publish Location: Hoboken, N.J
“Self-adaptive systems for machine intelligence” Subjects and Themes:
- Subjects: Self-organizing systems - COMPUTERS / Neural Networks - Artificial intelligence - Machine learning - Adaptive control systems
Edition Specifications:
- Pagination: p. cm.
Edition Identifiers:
- The Open Library ID: OL25074885M - OL16211950W
- Library of Congress Control Number (LCCN): 2010046375
- ISBN-13: 9780470343968
- All ISBNs: 9780470343968
AI-generated Review of “Self-adaptive systems for machine intelligence”:
"Self-adaptive systems for machine intelligence" Description:
The Open Library:
"This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and weaknesses of the current state-of-the-art of knowledge, give rise to new research directions, and educate future professionals in this domain. Self-adaptive intelligent systems have wide applications from military security systems to civilian daily life. In this book, different application problems, including pattern recognition, classification, image recovery, and sequence learning, will be presented to show the capability of the proposed systems in learning, memory, and prediction. Therefore, this book will also provide potential new solutions to many real-world applications"-- "This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and weaknesses of the current state-of-the-art of knowledge, give rise to new research directions, and educate future professionals in this domain"--
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