Model inversion using fuzzy neural network with boosting of the solution
Research output: Journal contributions › Journal articles › Research › peer-review
Authors
Neural networks are a very effective and popular tool for modeling. The inversion of a neural network makes possible the use of these networks in control problem schemes. This paper presents an inversion strategy based upon a feed-forward trained local linear model tree. The local linear model tree is realized through a fuzzy neural network. AMS Subject Classification: 92B20, 03B52, 90B15
| Original language | English |
|---|---|
| Journal | International Journal of Pure and Applied Mathematics |
| Volume | 80 |
| Issue number | 2 |
| Pages (from-to) | 261-270 |
| Number of pages | 10 |
| ISSN | 1311-8080 |
| Publication status | Published - 2012 |
- Applied Mathematics
- Mathematics(all)
ASJC Scopus Subject Areas
- Engineering - Fuzzy logic, Networks model, Neural networks