Higher Order Networks: An Introduction to Simplicial Complexes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Higher Order Networks: An Introduction to Simplicial Complexes write by Ginestra Bianconi. This book was released on 2021-12-23. Higher Order Networks: An Introduction to Simplicial Complexes available in PDF, EPUB and Kindle. 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
Artificial Higher Order Neural Networks for Modeling and Simulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Higher Order Neural Networks for Modeling and Simulation write by Zhang, Ming. This book was released on 2012-10-31. Artificial Higher Order Neural Networks for Modeling and Simulation available in PDF, EPUB and Kindle. "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
Artificial Higher Order Neural Networks for Economics and Business - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Higher Order Neural Networks for Economics and Business write by Zhang, Ming. This book was released on 2008-07-31. Artificial Higher Order Neural Networks for Economics and Business available in PDF, EPUB and Kindle. "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
Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications write by Zhang, Ming. This book was released on 2010-02-28. Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications available in PDF, EPUB and Kindle. "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
Higher-Order Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Higher-Order Systems write by Federico Battiston. This book was released on 2022-04-26. Higher-Order Systems available in PDF, EPUB and Kindle. 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.
