Mourrain, B. and Pavlidis, Nicos and Tasoulis, Dimitrios K and Vrahatis, Michael N. (2006) Determining the number of real roots of polynomials through neural networks. Computers and Mathematics with Applications, 51 (3-4). pp. 527-536. ISSN 0898-1221
Full text not available from this repository.Official URL: http://dx.doi.org/10.1016/j.camwa.2005.07.012
Abstract
The ability of feedforward neural networks to identify the number of real roots of univariate polynomials is investigated. Furthermore, their ability to determine whether a system of multivariate polynomial equations has real solutions is examined on a problem of determining the structure of a molecule. The obtained experimental results indicate that neural networks are capable of performing this task with high accuracy even when the training set is very small compared to the test set.
| Item Type: | Article |
|---|---|
| Journal or Publication Title: | Computers and Mathematics with Applications |
| Uncontrolled Keywords: | Roots of polynomials ; Neural networks ; Number of zeros |
| Subjects: | UNSPECIFIED |
| Departments: | Lancaster University Management School > Management Science |
| ID Code: | 50913 |
| Deposited By: | ep_importer_pure |
| Deposited On: | 09 Nov 2011 13:36 |
| Refereed?: | Yes |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 19:45 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/50913 |
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