| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4947830 | Neurocomputing | 2017 | 8 Pages |
â¢Multivariate adaptive hybrid neuro-fuzzy system and its learning algorithm are proposed.â¢Processing of nonstationary noised stochastic and chaotic signal in sequential mode.â¢On-board applications - industrial plants, smart homes (energy management, climate control, home electronic devices including security system).
In the paper the multivariate adaptive hybrid neuro-fuzzy system is proposed that allows to process nonstationary information disturbed by noises in sequential mode and also has smaller number of tuned parameters comparatively with known neuro-fuzzy systems. This proposed system can be used in on-board applications and, first of all, industrial plants, smart homes (energy management, climate control, home electronic devices including security system, etc.).
