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

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.). HighlightsMultivariate 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).

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