Flow version of statistical neurodynamics for oscillator neural networks
β Scribed by Satoki Uchiyama
- Book ID
- 113849370
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 350 KB
- Volume
- 391
- Category
- Article
- ISSN
- 0378-4371
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## Abstract This paper presents a new neural networkβboundary integral approach for analysis of steady viscous fluid flows. Indirect radial basis function networks (IRBFNs) which perform better than elementβbased methods for function interpolation, are introduced into the BEM scheme to represent th
The number of required hidden units is statistically estimated for feedforward neural networks that are constructed by adding hidden units one by one. The output error decreases with the number of hidden units by an almost constant rate, if each appropriate hidden unit is selected out of a great num