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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. Since HONNs are open box models, they can be easily used in information science, information...
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"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.
Persistent link: https://www.econbiz.de/10011727562
"This book explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications, emphasizing emerging research, practice, and real-world implementation"--Provided by publisher.
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"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...
Persistent link: https://www.econbiz.de/10011725822
"This book explores the emerging capabilities and applications of artificial higher order neural networks in the fields of economics, business, modeling, simulation, control, recognition, computer science, and engineering"--
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Transportation finance has been historically dominated by assessing taxes totransportation users and taxes on the general public. Innovative financing mechanismssuch as tax increment financing, special assessment districts, and others represent valuecapture techniques that tax property owners to...
Persistent link: https://www.econbiz.de/10009429340
Purpose – The algorithm of disjoint literature‐based knowledge discovery provides a convenient, efficient and effective auxiliary method for scientific research. Based on an analysis of Swanson's A‐B‐C model of disjoint literature‐based knowledge discovery and Gordon's intermediate...
Persistent link: https://www.econbiz.de/10014671719
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