- Tytuł:
- Evolutionary computing in operational research for two-layer neural networks
- Autorzy:
- Płaczek, S.
- Powiązania:
- https://bibliotekanauki.pl/articles/94935.pdf
- Data publikacji:
- 2017
- Wydawca:
- Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
- Tematy:
-
evolutionary algorithm
neural network
optimization algorithm
mutation operator
crossover operator - Opis:
- Considering the non-linear characteristics of the activation functions, the entire task is multidimensional and non-linear with a multimodal target function. Implementing evolutionary computing in the multimodal optimization tasks gives developers new and effective tools for seeking the global minimum. A developer has to find the optimal and simple transformation between the realization of a phenotype and a genotype. In the article, a two-layer neural network is analysed. In the first step, the population is created. In the main algorithm loop, a parent selection mechanism is used together with the fitness function. To evaluate the quality of evolutionary computing process different measured characteristics are used. The final results are depicted using charts and tables.
- Źródło:
-
Information Systems in Management; 2017, 6, 2; 119-130
2084-5537
2544-1728 - Pojawia się w:
- Information Systems in Management
- Dostawca treści:
- Biblioteka Nauki
Artykuł