A fuzzy inference system for wind-wave modeling
✍ Scribed by Georgios Sylaios; Frédéric Bouchette; Vassilios A. Tsihrintzis; Cléa Denamiel
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 651 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0029-8018
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
We present different techniques of fuzzy rule generation using the information we can obtain from the fuzzy clustering of a set of data which describe the behavior of a given system. The methods all try to obtain a first model of the consisted system that is good enough to serve as a first approxima
This paper introduces a novel transductive neuro-fuzzy inference model with weighted data normalization (TWNFI). In transductive systems a local model is developed for every new input vector, based on a certain number of data that are selected from the training data set and the closest to this vecto