The current paper illustrates the application of computational intelligence tools in slope performance prediction both in static and dynamic conditions. We present the results obtained by using the back-propagation algorithm, the theory of Bayesian neural networks and the Kohonen self-organizing map
β¦ LIBER β¦
Computational methods for the performance prediction of HAWTs
β Scribed by J. Gould; S.P. Fiddes
- Book ID
- 103584317
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 683 KB
- Volume
- 39
- Category
- Article
- ISSN
- 0167-6105
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## Abstract Computer performance has traditionally played a fundamental role in computer system design. Performance measurements and their quantitative analyses are useful in understanding and enhancing a computer system and in comparing different systems. Owing to the stochastic nature of systems,