دورية أكاديمية
Evolutionaty training for dynamical recurrent neural networks: an application in finantial time series prediction
| العنوان: | Evolutionaty training for dynamical recurrent neural networks: an application in finantial time series prediction |
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| المؤلفون: | Delgado Calvo-Flores, Miguel, Pegalajar Jiménez, Mª Carmen, Pegalajar Cuéllar, Manuel |
| المصدر: | Mathware & soft computing; 2006: Vol.: 13 Núm.: 2 |
| Publication Status: | published |
| بيانات النشر: | Mathware & soft computing, 2006. |
| سنة النشر: | 2006 |
| الوصف: | Theoretical and experimental studies have shown that traditional training algorithms for Dynamical Recurrent Neural Networks may suffer of local optima solutions, due to the error propagation across the recurrence. In the last years, many researchers have put forward different approaches to solve this problem, most of them being based on heuristic procedures. In this paper, the training capabilities of evolutionary techniques are studied, for Dynamical Recurrent Neural Networks. The performance of the models considered is compared in the experimental section, in real finantial time series prediction problems. |
| نوع الوثيقة: | article |
| وصف الملف: | text/html |
| اللغة: | Catalan; Valencian |
| تدمد: | 1989-533X 1134-5632 |
| Relation: | https://www.raco.cat/index.php/Mathware/article/view/84937/109934 |
| URL الوصول: | https://www.raco.cat/index.php/Mathware/article/view/84937 |
| رقم الأكسشن: | edsrac.84937 |
| قاعدة البيانات: | RACO (Revistes Catalanes amb Accés Obert) |
| تدمد: | 1989533X 11345632 |
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