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Enhancement and FPGA implementation of ANFIS algorithm in digital image processing
2014 IEEE 5th International Conference on Communications and Electronics, IEEE ICCE 2014 Số , năm 2014 (Tập , trang 285-290)
DOI: 10.1109/CCE.2014.6916716
Tài liệu thuộc danh mục: Scopus
Conference Paper
English
Từ khóa: Algorithms; Computation theory; Field programmable gate arrays (FPGA); Fuzzy inference; Fuzzy logic; Fuzzy rules; Fuzzy sets; Fuzzy systems; Image processing; Linguistics; Soft computing; Adaptive neuro-fuzzy inference system; FPGA implementations; Fuzzy image processing; Fuzzy inference systems; Linguistic modeling; Neuro-Fuzzy; Neuro-Fuzzy model; Takagi-Sugeno fuzzy inference systems; Fuzzy filters
Tóm tắt tiếng anh
Adaptive Neuro Fuzzy Inference System (ANFIS) is a kind of neuro-fuzzy model, combining fuzzy system and neural network. It incorporates the human-like reasoning style of fuzzy systems through the use of fuzzy sets and a linguistic model consisting of a set of IF-THEN fuzzy rules. Based on Takagi-Sugeno Fuzzy Inference System, ANFIS focus on the accuracy and it is widely used in control and identification systems. However, when the fuzzy rule base is large, it proved to be slow because of the computation time. This paper introduces an enhanced algorithm, implemented on FPGA platform, to speed up the standard ANFIS algorithm in digital image processing. � 2014 IEEE.
