نتایج جستجو برای: anfis de

تعداد نتایج: 1534928  

2012
Yi-Jen Mon

A supervisory Adaptive Network‐based Fuzzy Inference System (SANFIS) is proposed for the empirical control of a mobile robot. This controller includes an ANFIS controller and a supervisory controller. The ANFIS controller is off‐line tuned by an adaptive fuzzy inference system, the supervisory controller is designed to compensate for the approximation error bet...

Journal: :Advanced Engineering Informatics 2015
Huimin Jiang Chun-Kit Kwong Kin W. M. Siu Ying Liu

28 Facing fierce competition in marketplaces, companies try to determine the optimal settings of design 29 attribute of new products from which the best customer satisfaction can be obtained. To determine 30 the settings, customer satisfaction models relating affective responses of customers to design attributes 31 have to be first developed. Adaptive neuro-fuzzy inference systems (ANFIS) was a...

2011
Abha Mittal Shaifaly Sharma D. P. Kanungo

Peak ground acceleration (PGA) plays an important role in assessing effects of earthquakes on the built environment, persons, and the natural environment. It is a basic parameter of seismic wave motion based on which earthquake resistant building design and construction are made. The level of damage is, among other factors, directly proportional to the severity of the ground acceleration, and i...

2013
Mehmet Aydın Cihan Karakuzu Mehmet Uçar Abdulkadir Cengiz Mehmet Ali Çavuşlu

This paper presents an approach for modeling and prediction of both surface roughness and cutting zone temperature in turning of AISI304 austenitic stainless steel using multi-layer coated (TiCN+TiC+TiCN+TiN) tungsten carbide tools. The proposed approach is based on an adaptive neuro-fuzzy inference system (ANFIS) with particle swarm optimization (PSO) learning. AISI304 stainless steel bars are...

2014
D. Balamurugan R. Rajesh

This paper analyses the operation of an adaptive neurofuzzy inference system (ANFIS)-based maximum power point tracking (MPPT) for solar photovoltaic (SPV) energy generation system. The MPPT works on the principle of adjusting the voltage of the SPV modules by changing the duty ratio of the Quasi-zsource inverter. The duty ratio of the inverter is calculated for a given solar irradiance and tem...

2015
K. Kasi Rajan P. Latha

This paper presents sensorless rotor position estimation of Switched Reluctance Motor (SRM) where the position is to be determined by Adaptive Neuro Fuzzy Inference System (ANFIS). The rotor position sensing is very essential for the SRM for its efficient operation. Previously rotor position sensors are used to estimate the position of rotor for SRM. Due to its drawback the sensors have to be r...

2012
Fung-Huei Yeh Ching-Lun Li Kun-Nan Tsay

This paper combines adaptive network fuzzy inference system (ANFIS) and finite element method (FEM) to study the die shape optimal design in sheet metal bending process. At first, the explicit dynamic FEM is used to simulate the sheet metal bending process. After the bending process, the springback is analyzed by using the implicit static FEM to establish the basic database for ANFIS. Then, the...

2003
M. R. Ghasemi

In this paper the performance of Artificial Neural Networks (ANNs) and Adaptive NeuroFuzzy Inference Systems (ANFIS) in simulating the inverse dynamic behavior of MagnetoRheological (MR) dampers is investigated. MR dampers are one of the most applicable methods in semi active control of seismic response of structures. Various mathematical models are introduced to simulate the dynamic behavior o...

2013
T. Shanthi

This paper proposes an artificialintelligence-based solution to interface photovoltaic (PV) array with the three phase ac load and to deliver maximum power to the load. The maximum power delivery to the load is achieved by MPPT controller which employs adaptive neuro-fuzzy inference system (ANFIS). The proposed ANFIS-based MPPT offers an extremely fast dynamic response with great accuracy. The ...

2015
D. N. Dewangan Manoj Kumar Jha

Fault diagnosis of steam turbine is essential to predict further development and to anticipate it by taking appropriate measures. Fault diagnosis of modern industrial power plants by human inspection is time-consuming and expensive as well as fault diagnostic system modelling based on conventional mathematical tools is not suitable for ill defined and uncertain system. Therefore, it is necessar...

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