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Machine Learning and Granular Computing: A Synergistic Design Environment

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Release : 2024-10-06
Genre : Computers
Kind : eBook
Book Rating : 418/5 ( reviews)

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Book Synopsis Machine Learning and Granular Computing: A Synergistic Design Environment by : Witold Pedrycz

Download or read book Machine Learning and Granular Computing: A Synergistic Design Environment written by Witold Pedrycz. This book was released on 2024-10-06. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides the reader with a comprehensive and up-to-date treatise positioned at the junction of the areas of Machine Learning (ML) and Granular Computing (GrC). ML offers a wealth of architectures and learning methods. Granular Computing addresses useful aspects of abstraction and knowledge representation that are of importance in the advanced design of ML architectures. In unison, ML and GrC support advances of the fundamental learning paradigm. As built upon synergy, this unified environment focuses on a spectrum of methodological and algorithmic issues, discusses implementations and elaborates on applications. The chapters bring forward recent developments showing ways of designing synergistic and coherently structured ML-GrC environment. The book will be of interest to a broad audience including researchers and practitioners active in the area of ML or GrC and interested in following its timely trends and new pursuits.

Machine Learning and Granular Computing: A Synergistic Design Environment

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Release :
Genre :
Kind : eBook
Book Rating : 421/5 ( reviews)

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Book Synopsis Machine Learning and Granular Computing: A Synergistic Design Environment by : Witold Pedrycz

Download or read book Machine Learning and Granular Computing: A Synergistic Design Environment written by Witold Pedrycz. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Computational Intelligence in Telecommunications Networks

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Release : 2018-10-03
Genre : Technology & Engineering
Kind : eBook
Book Rating : 064/5 ( reviews)

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Book Synopsis Computational Intelligence in Telecommunications Networks by : Witold Pedrycz

Download or read book Computational Intelligence in Telecommunications Networks written by Witold Pedrycz. This book was released on 2018-10-03. Available in PDF, EPUB and Kindle. Book excerpt: Telecommunications has evolved and grown at an explosive rate in recent years and will undoubtedly continue to do so. As its functions, applications, and technology grow, it becomes increasingly complex and difficult, if not impossible, to meet the demands of a global network using conventional computing technologies. Computational intelligence (CI) is the technology of the future-and the future is now. Computational Intelligence in Telecommunications Networks offers an in-depth look at the rapid progress of CI technology and shows its importance in solving the crucial problems of future telecommunications networks. It covers a broad range of topics, from Call Admission Control, congestion control, and QoS-routing for ATM networks, to network design and management, optical, mobile, and active networks, and Intelligent Mobile Agents. Today's telecommunications professionals need a working knowledge of CI to exploit its potential to overcome emerging challenges. The CI community must become acquainted with those challenges to take advantage of the enormous opportunities the telecommunications field offers. This text meets both those needs, clearly, concisely, and with a depth certain to inspire further theoretical and practical advances.

Computational Intelligence and Quantitative Software Engineering

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Release : 2016-01-14
Genre : Technology & Engineering
Kind : eBook
Book Rating : 644/5 ( reviews)

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Book Synopsis Computational Intelligence and Quantitative Software Engineering by : Witold Pedrycz

Download or read book Computational Intelligence and Quantitative Software Engineering written by Witold Pedrycz. This book was released on 2016-01-14. Available in PDF, EPUB and Kindle. Book excerpt: In a down-to-the earth manner, the volume lucidly presents how the fundamental concepts, methodology, and algorithms of Computational Intelligence are efficiently exploited in Software Engineering and opens up a novel and promising avenue of a comprehensive analysis and advanced design of software artifacts. It shows how the paradigm and the best practices of Computational Intelligence can be creatively explored to carry out comprehensive software requirement analysis, support design, testing, and maintenance. Software Engineering is an intensive knowledge-based endeavor of inherent human-centric nature, which profoundly relies on acquiring semiformal knowledge and then processing it to produce a running system. The knowledge spans a wide variety of artifacts, from requirements, captured in the interaction with customers, to design practices, testing, and code management strategies, which rely on the knowledge of the running system. This volume consists of contributions written by widely acknowledged experts in the field who reveal how the Software Engineering benefits from the key foundations and synergistically existing technologies of Computational Intelligence being focused on knowledge representation, learning mechanisms, and population-based global optimization strategies. This book can serve as a highly useful reference material for researchers, software engineers and graduate students and senior undergraduate students in Software Engineering and its sub-disciplines, Internet engineering, Computational Intelligence, management, operations research, and knowledge-based systems.

ECG Signal Processing, Classification and Interpretation

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Release : 2011-09-18
Genre : Technology & Engineering
Kind : eBook
Book Rating : 682/5 ( reviews)

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Book Synopsis ECG Signal Processing, Classification and Interpretation by : Adam Gacek

Download or read book ECG Signal Processing, Classification and Interpretation written by Adam Gacek. This book was released on 2011-09-18. Available in PDF, EPUB and Kindle. Book excerpt: The book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. Illustrative material includes: brief numerical experiments; detailed schemes, exercises and more advanced problems.

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