The size and training parameters of artificial neural networks have a critical effect on their performance. This paper presents the application of the Taguchi Design of Experiments (DoEs) off-line quality control method in the optimization of the design parameters of a neural network. Being a 'paral
Optimization of feedforward neural networks
โ Scribed by Jun Han; Claudio Moraga; Stefan Sinne
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 885 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0952-1976
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