Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
In the structure of ANFIS, there are two different parameter groups: premise and
consequence. Training ANFIS means determination of these parameters using an …
consequence. Training ANFIS means determination of these parameters using an …
A Fuzzy Logic Controller tuned with PSO for 2 DOF robot trajectory control
Z Bingül, O Karahan - Expert Systems with Applications, 2011 - Elsevier
In this paper, a 2 DOF planar robot was controlled by Fuzzy Logic Controller tuned with a
particle swarm optimization. For a given trajectory, the parameters of Mamdani-type-Fuzzy …
particle swarm optimization. For a given trajectory, the parameters of Mamdani-type-Fuzzy …
Estimation of tool wear and optimization of cutting parameters based on novel ANFIS-PSO method toward intelligent machining
L Xu, C Huang, C Li, J Wang, H Liu, X Wang - Journal of Intelligent …, 2021 - Springer
Compacted graphite iron (CGI) plays an important role in contemporary manufacturing of
automobile engine, and coated tool is the best choice for milling of CGI. But studies about …
automobile engine, and coated tool is the best choice for milling of CGI. But studies about …
The potential of hybrid evolutionary fuzzy intelligence model for suspended sediment concentration prediction
Providing a robust and reliable prediction model for suspended sediment concentration
(SSC) is an essential task for several environmental and geomorphology prospective …
(SSC) is an essential task for several environmental and geomorphology prospective …
Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods
This paper proposes a novel hybrid learning algorithm with stable learning laws for Adaptive
Network based Fuzzy Inference System (ANFIS) as a system identifier and studies the …
Network based Fuzzy Inference System (ANFIS) as a system identifier and studies the …
Estimation of ultimate bearing capacity of driven piles in c-φ soil using MLP-GWO and ANFIS-GWO models: a comparative study
A new forecast method is proposed in order to improve the estimation accuracy of the
ultimate bearing capacity (UBC) of single driven piles. The performance of the adaptive …
ultimate bearing capacity (UBC) of single driven piles. The performance of the adaptive …
Energy minimization for 3-RRR fully planar parallel manipulator using particle swarm optimization
S Kucuk - Mechanism and Machine Theory, 2013 - Elsevier
This paper presents an optimization problem for the 3-degrees-of-freedom RRR fully planar
parallel manipulator (3-RRR) based on the actuator power consumption. The optimization …
parallel manipulator (3-RRR) based on the actuator power consumption. The optimization …
Training ANFIS as an identifier with intelligent hybrid stable learning algorithm based on particle swarm optimization and extended Kalman filter
This paper proposes a novel hybrid learning algorithm with stable learning laws for Adaptive
Network-based Fuzzy Inference System (ANFIS) as a system identifier. The proposed hybrid …
Network-based Fuzzy Inference System (ANFIS) as a system identifier. The proposed hybrid …
Robust optimization of ANFIS based on a new modified GA
Abstract Adaptive Network-based Fuzzy Inference Systems (ANFIS) is one of the most well-
known predictions modeling technique utilized to find the superlative relationship between …
known predictions modeling technique utilized to find the superlative relationship between …
Implementation of univariate paradigm for streamflow simulation using hybrid data-driven model: Case study in tropical region
The performance of the bio-inspired adaptive neuro-fuzzy inference system (ANFIS) models
are proposed for forecasting highly non-linear streamflow of Pahang River, located in a …
are proposed for forecasting highly non-linear streamflow of Pahang River, located in a …