Tag: Granular

Machine Learning and Granular Computing A Synergistic Design Environment (Studies in Big Data, 155)


Free Download Machine Learning and Granular Computing: A Synergistic Design Environment (Studies in Big Data, 155) by Witold Pedrycz, Shyi-Ming Chen
English | September 22, 2024 | ISBN: 3031668413 | 360 pages | MOBI | 41 Mb
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.

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Machine Learning and Granular Computing A Synergistic Design Environment


Free Download Machine Learning and Granular Computing: A Synergistic Design Environment by Witold Pedrycz, Shyi-Ming Chen
English | PDF EPUB (True) | 2024 | 355 Pages | ISBN : 3031668413 | 82.1 MB
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.

(more…)

Computational Mechanics of Arbitrarily Shaped Granular Materials


Free Download Computational Mechanics of Arbitrarily Shaped Granular Materials by Siqiang Wang , Shunying Ji
English | PDF EPUB (True) | 2024 | 240 Pages | ISBN : 981999926X | 129.2 MB
This book focuses on discrete element methods for arbitrarily shaped granular materials, including super-quadric models, spherical harmonic functions and level set methods, and numerical analysis of the flow characteristics of non-spherical granular materials. This book is used as a reference book for scientific researchers engaged in dynamic analysis of granular materials and optimal design of equipment structures in the fields of engineering mechanics, applied physics, mechanical engineering, and chemical engineering, as well as for graduate students or senior undergraduates of related majors in institutions of higher education.

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Computational Granular Mechanics and Its Engineering Applications (2024)


Free Download Computational Granular Mechanics and Its Engineering Applications by Shunying Ji
English | EPUB | 2020 | 399 Pages | ISBN : 9811533032 | 183.16 MB
This book systematically introduces readers to computational granular mechanics and its relative engineering applications. Part I describes the fundamentals, such as the generation of irregular particle shapes, contact models, macro-micro theory, DEM-FEM coupling, and solid-fluid coupling of granular materials.

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Computational Mechanics of Arbitrarily Shaped Granular Materials


Free Download Computational Mechanics of Arbitrarily Shaped Granular Materials
English | 2024 | ISBN: 981999926X | 391 Pages | PDF EPUB (True) | 126 MB
This book focuses on discrete element methods for arbitrarily shaped granular materials, including super-quadric models, spherical harmonic functions and level set methods, and numerical analysis of the flow characteristics of non-spherical granular materials. This book is used as a reference book for scientific researchers engaged in dynamic analysis of granular materials and optimal design of equipment structures in the fields of engineering mechanics, applied physics, mechanical engineering, and chemical engineering, as well as for graduate students or senior undergraduates of related majors in institutions of higher education.

(more…)

Granular-Relational Data Mining How to Mine Relational Data in the Paradigm of Granular Computing


Free Download Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? by Piotr Hońko
English | EPUB (True) | 2017 | 130 Pages | ISBN : 3319527509 | 3 MB
This book provides two general granular computing approaches to mining relational data, the first of which uses abstract descriptions of relational objects to build their granular representation, while the second extends existing granular data mining solutions to a relational case.

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Computational Granular Mechanics and Its Engineering Applications (2024)


Free Download Computational Granular Mechanics and Its Engineering Applications by Shunying Ji
English | EPUB | 2020 | 399 Pages | ISBN : 9811533032 | 183.16 MB
This book systematically introduces readers to computational granular mechanics and its relative engineering applications. Part I describes the fundamentals, such as the generation of irregular particle shapes, contact models, macro-micro theory, DEM-FEM coupling, and solid-fluid coupling of granular materials.

(more…)