کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4947830 | 1439597 | 2017 | 8 صفحه PDF | دانلود رایگان |
- Multivariate adaptive hybrid neuro-fuzzy system and its learning algorithm are proposed.
- Processing of nonstationary noised stochastic and chaotic signal in sequential mode.
- 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.).
Journal: Neurocomputing - Volume 230, 22 March 2017, Pages 409-416