Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm. (8th October 2007)

• Record Type: Journal Article
• Authors: Fiori, Simone
• Other Names: Cruces-Alvarez S. Academic Editor.
• Is Part Of: Computational intelligence and neuroscience. Volume 2008(2008)
• Publication Date: 2007-10-08
• Subjects: Neurosciences -- Data processing -- Periodicals; Computational intelligence -- Periodicals; Computational neuroscience -- Periodicals; 612.80285
• DOI: 10.1155/2008/426080
• Languages: English
• ISSNs: 1687-5265

Abstract

Abstract : In a previous work (S. Fiori, 2006), we proposed a random number generator based on a tunable non-linear neural system, whose learning rule is designed on the basis of a cardinal equation from statistics and whose implementation is based on look-up tables (LUTs). The aim of the present manuscript is to improve the above-mentioned random number generation method by changing the learning principle, while retaining the efficient LUT-based implementation. The new method proposed here proves easier to implement and relaxes some previous limitations.