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Higher Order Networks: An Introduction to Simplicial Complexes

2021-12-23 Mathematics
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Release : 2021-12-23
Genre : Mathematics
Kind : eBook
Book Rating : 739/5 ( reviews)

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Book Synopsis Higher Order Networks: An Introduction to Simplicial Complexes by : Ginestra Bianconi

Download or read book Higher Order Networks: An Introduction to Simplicial Complexes written by Ginestra Bianconi. This book was released on 2021-12-23. Available in PDF, EPUB and Kindle. Book excerpt: This Element presents one of the most recent developments in network science in a highly accessible style. This Element will be of interest to interdisciplinary scientists working in network science, in addition to mathematicians working in discrete topology and geometry and physicists working in quantum gravity.

Artificial Higher Order Neural Networks for Modeling and Simulation

2012-10-31 Computers
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Release : 2012-10-31
Genre : Computers
Kind : eBook
Book Rating : 761/5 ( reviews)

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Book Synopsis Artificial Higher Order Neural Networks for Modeling and Simulation by : Zhang, Ming

Download or read book Artificial Higher Order Neural Networks for Modeling and Simulation written by Zhang, Ming. This book was released on 2012-10-31. Available in PDF, EPUB and Kindle. Book excerpt: "This book introduces Higher Order Neural Networks (HONNs) to computer scientists and computer engineers as an open box neural networks tool when compared to traditional artificial neural networks"--Provided by publisher.

Artificial Higher Order Neural Networks for Economics and Business

2008-07-31 Computers
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Release : 2008-07-31
Genre : Computers
Kind : eBook
Book Rating : 981/5 ( reviews)

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Book Synopsis Artificial Higher Order Neural Networks for Economics and Business by : Zhang, Ming

Download or read book Artificial Higher Order Neural Networks for Economics and Business written by Zhang, Ming. This book was released on 2008-07-31. Available in PDF, EPUB and Kindle. Book excerpt: "This book is the first book to provide opportunities for millions working in economics, accounting, finance and other business areas education on HONNs, the ease of their usage, and directions on how to obtain more accurate application results. It provides significant, informative advancements in the subject and introduces the HONN group models and adaptive HONNs"--Provided by publisher.

Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications

2010-02-28 Computers
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Release : 2010-02-28
Genre : Computers
Kind : eBook
Book Rating : 120/5 ( reviews)

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Book Synopsis Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications by : Zhang, Ming

Download or read book Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications written by Zhang, Ming. This book was released on 2010-02-28. Available in PDF, EPUB and Kindle. Book excerpt: "This book introduces and explains Higher Order Neural Networks (HONNs) to people working in the fields of computer science and computer engineering, and how to use HONNS in these areas"--Provided by publisher.

Higher-Order Systems

2022-04-26 Science
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Release : 2022-04-26
Genre : Science
Kind : eBook
Book Rating : 740/5 ( reviews)

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Book Synopsis Higher-Order Systems by : Federico Battiston

Download or read book Higher-Order Systems written by Federico Battiston. This book was released on 2022-04-26. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses the potential of higher-order interactions to model real-world relational systems. Over the last decade, networks have emerged as the paradigmatic framework to model complex systems. Yet, as simple collections of nodes and links, they are intrinsically limited to pairwise interactions, limiting our ability to describe, understand, and predict complex phenomena which arise from higher-order interactions. Here we introduce the new modeling framework of higher-order systems, where hypergraphs and simplicial complexes are used to describe complex patterns of interactions among any number of agents. This book is intended both as a first introduction and an overview of the state of the art of this rapidly emerging field, serving as a reference for network scientists interested in better modeling the interconnected world we live in.

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