Application of Radial Basis Function Neural Network to Support Concept Evaluation
| Autor: | Ma Lin, Nai Chao Wang, Qing Wei Yang |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Engineering
Artificial neural network Basis (linear algebra) business.industry General Engineering Complex system computer.software_genre Concept evaluation Radial basis function neural Data envelopment analysis Radial basis function Support system Data mining Artificial intelligence business computer |
| Zdroj: | Advanced Materials Research. :1926-1931 |
| ISSN: | 1662-8985 |
| DOI: | 10.4028/www.scientific.net/amr.472-475.1926 |
| Popis: | In order to solve the problem that how to evaluate the complex system support concept, an evaluation method based on Radial Basis Function (RBF) neural network model was presented. Through researching the support system overall design characteristics and elements of support, on this basis, evaluation parameters of support concept were abstracted. Support concept evaluation model based on RBF was established and a mature and stable RBF neural network was trained to calculate the comprehensive evaluation value for support concept. Finally, the further demonstration and verification of the method are given through specific case application and compared with the result for evaluation results of data envelopment analysis (DEA) model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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