Results 201 to 210 of about 15,321 (232)

ANFIS system for classification of brain signals

Journal of Intelligent & Fuzzy Systems, 2019
Recently, the Adaptive-Network-Based Fuzzy Inference System (ANFIS) is applied in many areas of knowledge, and there are multiple optimization algorithms for its learning. This work shows the design of a novel optimization algorithm for an ANFIS system that learns and classifies the behavior of brain signals between normal and abnormal.
José de Jesús Rubio, David Ricardo Cruz, Israel Elias, Genaro Ochoa, Ricardo Balcazar, Arturo Aguilar   +5 more
openaire   +1 more source

Application of ANFIS to Stream-Way Transition

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
The main purpose of this paper is to predict stream-way transition with Adaptive-Network-Based Fuzzy Inference System (ANFIS). Therefore, the downstream stream-way transition according to the upstream conditions is forecasted by ANFIS. Five main factors may affect the stream-way transition include inflow position, inflow angle, slope, flow discharge ...
Shih-Wei Ma, Chang-Huan Kou, Li Chen, An-Pei Wang, Cheng-Yuan Sung   +4 more
openaire   +1 more source

Nonlinear feedback control based on ANFIS

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015
Adaptive neural fuzzy interference system (ANFIS) controller has advantages of solving the control problem of uncertain systems by means of a fuzzy system and optimizing controller parameters though the self-learning ability of a neural network. For nonlinear and uncertain ship motion, ANFIS course keeping controller is designed to deal with the ...
Xiujia Chen, Xianku Zhang
openaire   +1 more source

Application of ANFIS in the design of fuzzy controller

2012 International Conference on Machine Learning and Cybernetics, 2012
How to generate and adjust the membership function and fuzzy rules are difficult problems in the design of fuzzy controller. To solve this problem, adaptive neural fuzzy inference system (ANFIS) is used to design the fuzzy control system, then the fuzzy rules and membership function can be obtained by back propagation or hybrid algorithm of the neural ...
Teng-Fei Li, Chao-Ying Liu, Zhe-Ying Song, Xue-Ling Song, Qing-Qing Yan   +4 more
openaire   +1 more source

???????????? ???????????????? ?????????????????????? ???????????????????? ?????????? ???????????????????????? ?????????????????????? ???? ???????????? ANFIS

2014
The paper is devoted to the problem of construction the spatial distribution fields of urban probabilities based on typical tourist towns of Ukrainian Carpathian Mountains. The method of extracting data from geoinformation systems (GIS) and finding of hidden dependences using fuzzy-logic are considered.
openaire   +1 more source

???????????????????????? ?????????????????????????? ???????????????? ?????????????????? ???????? ANFIS ?? ?????????????? ?????????????????????????????????????? ??????????????????????????????

2010
The fuzzy neural network ANFIS with logical inference of Sugeno is considered. The training algorithm is described and its experimental investigations in the problem of macroeconomic indexes forecasting on the example of Ukrainian economy are presented.
openaire   +1 more source

Analysis of ANFIS Model for Polymerization Process

2006
Adaptive-network-based Fuzzy Inference System (ANFIS), proposed by Jang, is applied to estimating characteristics of end products for a semibatch process of polyvinyl acetate. In modeling the process, it is found that an ANFIS model restructured in a way of cascade mode enhances predictive performance.
Hideyuki Matsumoto, Cheng Lin, Chiaki Kuroda   +2 more
openaire   +1 more source

ANFIS Based Emotions Recognision in Speech

2007
In this paper, a speech based emotion classification method is presented. Five basic human emotions including anger, fear, happiness, sadness and neutral are investigated. This paper explores use of Adaptive Neuro-Fuzzy Inference System (ANFIS) to design a classifier that can discriminate between various emotions.
Shubhangi D. Giripunje, Narendra Bawane
openaire   +1 more source

Deep Learning ANFIS Architectures

2023
Ben van Oostendorp, Eric Zander, Barnabás Bede   +2 more
openaire   +1 more source

Hourly solar irradiation forecasting utilising ANFIS and simulated annealing ANFIS

2023
Swatika Srivastava, Mohd Shariq Ansari, Tanu Dhusia, Ravi Jaiswal, Poonam Yadav   +4 more
openaire   +1 more source