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High speed optical higher order neural networks for discovering data trends and patterns in very large databases

Selviah, D.R.; (2009) High speed optical higher order neural networks for discovering data trends and patterns in very large databases. In: Zhang, M., (ed.) Artificial Higher Order Neural Networks for Economics and Business. (pp. 442-465). IGI/ Information Science Reference: Hershey, US.

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Abstract

Book description: Artificial Higher Order Neural Networks (HONNs) significantly change the research methodology that is used in economics and business areas for nonlinear data simulation and prediction. With the important advances in HONNs, it becomes imperative to remain knowledgeable about its benefits and improvements. Artificial Higher Order Neural Networks for Economics and Business is the first book to provide practical education and applications for the millions of professionals working in economics, accounting, finance and other business areas on HONNs and the ease of their usage to obtain more accurate application results. This source provides significant, informative advancements in the subject and introduces the concepts of HONN group models and adaptive HONNs.

Type: Book chapter
Title: High speed optical higher order neural networks for discovering data trends and patterns in very large databases
ISBN-13: 9781599048970
Publisher version: http://www.igi-pub.com/reference/details.asp?id=77...
Language: English
UCL classification: UCL > School of BEAMS > Faculty of Engineering Science > Electronic and Electrical Engineering
URI: http://discovery.ucl.ac.uk/id/eprint/18094
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