TY - JOUR A2 - Cruces-Alvarez, S. AU - Fiori, Simone PY - 2008 DA - 2008/04/24 TI - Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm SP - 426080 VL - 2008 AB - 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. SN - 1687-5265 UR - https://doi.org/10.1155/2008/426080 DO - 10.1155/2008/426080 JF - Computational Intelligence and Neuroscience PB - Hindawi Publishing Corporation KW - ER -