Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning

作者：Bodyanskiy Ye; Vynokurova O; Setlak G; Peleshko D; Mulesa P

来源：Neurocomputing, 2017, 230: 409-416.

DOI：10.1016/j.neucom.2016.12.042

• Data mining
• Computational intelligence
• Multivariate hybrid neuro-fuzzy system
• Adaptive learning
• Prediction
• On-board applications

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.).

• 出版日期2017-3-22