{"title":"数字图像处理中ANFIS算法的增强与FPGA实现","authors":"Truong Hoai Duy, Nguyen Van Cuong","doi":"10.1109/CCE.2014.6916716","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":377853,"journal":{"name":"2014 IEEE Fifth International Conference on Communications and Electronics (ICCE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Enhancement and FPGA implementation of ANFIS algorithm in digital image processing\",\"authors\":\"Truong Hoai Duy, Nguyen Van Cuong\",\"doi\":\"10.1109/CCE.2014.6916716\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":377853,\"journal\":{\"name\":\"2014 IEEE Fifth International Conference on Communications and Electronics (ICCE)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Fifth International Conference on Communications and Electronics (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCE.2014.6916716\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Fifth International Conference on Communications and Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCE.2014.6916716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancement and FPGA implementation of ANFIS algorithm in digital image processing
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.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
