Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm
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...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2008-01-01
|
| Series: | Computational Intelligence and Neuroscience |
| Online Access: | http://dx.doi.org/10.1155/2008/426080 |
| id |
doaj-13cdda076f3b4624b823568715f107da |
|---|---|
| record_format |
Article |
| spelling |
doaj-13cdda076f3b4624b823568715f107da2020-11-25T00:14:33ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732008-01-01200810.1155/2008/426080426080Asymmetric Variate Generation via a Parameterless Dual Neural Learning AlgorithmSimone Fiori0Dipartimento di Elettronica, Intelligenza Artificiale e Telecomunicazioni (DEIT), Università Politecnica delle Marche Via Brecce Bianche, Ancona I-60131, ItalyIn 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.http://dx.doi.org/10.1155/2008/426080 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Simone Fiori |
| spellingShingle |
Simone Fiori Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm Computational Intelligence and Neuroscience |
| author_facet |
Simone Fiori |
| author_sort |
Simone Fiori |
| title |
Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm |
| title_short |
Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm |
| title_full |
Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm |
| title_fullStr |
Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm |
| title_full_unstemmed |
Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm |
| title_sort |
asymmetric variate generation via a parameterless dual neural learning algorithm |
| publisher |
Hindawi Limited |
| series |
Computational Intelligence and Neuroscience |
| issn |
1687-5265 1687-5273 |
| publishDate |
2008-01-01 |
| description |
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. |
| url |
http://dx.doi.org/10.1155/2008/426080 |
| work_keys_str_mv |
AT simonefiori asymmetricvariategenerationviaaparameterlessdualneurallearningalgorithm |
| _version_ |
1725389717040529408 |