Embedded Adaptive Neuro Fuzzy Inference System with Hardware Implemented Real Time Parameter Update

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Abstract

In the paper a Sugeno architecture based hardware implemented neuro adaptive inference system’s training algorithm is presented. The block diagram of the neuro-adaptive inference system output computing implemented in hardware is discussed, and the implementation in reconfigurable circuit of real-time parameter tuning is presented. The proposed system functionality based on measurements achieved is demonstrated. The resulted architecture has a very high processing speed, and the parameter adaptation works in parallel with the output processing. The proposed architecture can also be used for different training algorithms’ development.

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