- Tytuł:
- Optimal training strategies for locally recurrent neural networks
- Autorzy:
-
Patan, K.
Patan, M. - Powiązania:
- https://bibliotekanauki.pl/articles/1396735.pdf
- Data publikacji:
- 2011
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
training schedule
neural network
Fisher information matrix
network parameters
optimal experimental design
convex optimization theory - Opis:
- The problem of determining an optimal training schedule for locally recurrent neural network is discussed. Specifically, the proper choice of the most informative measurement data guaranteeing the reliable prediction of neural network response is considered. Based on a scalar measure of performance defined on the Fisher information matrix related to the network parameters, the problem was formulated in terms of optimal experimental design. Then, its solution can be readily achieved via adaptation of effective numerical algorithms based on the convex optimization theory. Finally, some illustrative experiments are provided to verify the presented approach.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2011, 1, 2; 103-114
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł