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Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

ICS 581: Advanced Artificial Intelligence. Lecture 13. Adaptive Neuro-Fuzzy Inference Systems (ANFIS). Dr. Emad A. A. El-Sebakhy. Term 061 Meeting Time: 6:30 -7:45 Location: Building 22, Room 132. Crisp set A. Fuzzy set A. 1.0. 1.0. .9. Membership function. .5. 170. 170. 180.

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Fuzzy Inference Systems

Fuzzy Inference Systems. Review Fuzzy Models. If <antecedence> then <consequence> . Basic Configuration of a Fuzzy Logic System. Inferencing. Fuzzification. Defuzzification. Input. Output. Target. Error =Target -Output. Types of Rules. Mamdani Assilian Model

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Brain Inspired Information Association on Hardware Khadeer Ahmed, Wei Liu, Qinru Qiu

Knowledge Base (KB). Weight Store. Brain Inspired Information Association on Hardware Khadeer Ahmed, Wei Liu, Qinru Qiu Dept. of Electrical & Computer Engineering, Syracuse University, Syracuse, NY 13244 USA { khahmed , wliu46, qiqiu }@syr.edu. Excitation Value. PE. P E. PE.

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Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

Fuzzy Inference Systems

Brain Inspired Information Association on Hardware Khadeer Ahmed, Wei Liu, Qinru Qiu