Embedded Adaptive Neuro Fuzzy Inference System with Hardware Implemented Real Time Parameter Update
Sándor Tihamér Brassai, Szabolcs Hajdú, Tibor Tămas · MACRo 2015 · 2015
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.