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[PDF] Top 20 Predict the Inverse Kinematic Solution to Manipulate Duplicate Using Anfis

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Predict the Inverse Kinematic Solution to Manipulate Duplicate Using Anfis

Predict the Inverse Kinematic Solution to Manipulate Duplicate Using Anfis

... Closed-loop inverse kinematics (CLIK) algorithm was proposed by Siciliano [37], to overcome the joint drift for open- chain robot manipulators, by including the feedback for the end-effector’s position and ... See full document

9

Prediction of Inverse Kinematics Solution of APUMA Manipulator Using ANFIS
K Anoosha, B Biksham & K Veeranjaneyulu

Prediction of Inverse Kinematics Solution of APUMA Manipulator Using ANFIS K Anoosha, B Biksham & K Veeranjaneyulu

... of inverse kinematic solution for 7-DOF redundant ...from ANFIS and ANN model on the basis of global statistic ...the ANFIS model is more flexible than the ANN model considered in this ... See full document

9

Inverse Kinematics Solution of a Robot Arm based on Adaptive Neuro Fuzzy Interface System

Inverse Kinematics Solution of a Robot Arm based on Adaptive Neuro Fuzzy Interface System

... Once X and Y coordinate arrays are calculated, joining the two arrays into one, that array is going to represent array of all possible end points (all possible desired location) of the robot arm. Code syntax: That is ... See full document

5

Inverse Kinematic Analysis of Lab-Volt R5150 Robot system

Inverse Kinematic Analysis of Lab-Volt R5150 Robot system

... Inverse kinematics deals with the problem of finding the required joint angles to produce a certain desired position and orientation of the end-effector in Cartesian space. Its solution, however, is much ... See full document

8

An Explicit Solution of Burgers’ Equation with Special Kinematic Viscosity Using Decomposition Technique

An Explicit Solution of Burgers’ Equation with Special Kinematic Viscosity Using Decomposition Technique

... the solution through ADM does not affected by error associated with aforementioned numerical tasks ...the solution series and in most cases, only few iteration leads to very accurate ... See full document

6

Predicting ERP User Satisfaction―an Adaptive Neuro Fuzzy Inference System (ANFIS) Approach

Predicting ERP User Satisfaction―an Adaptive Neuro Fuzzy Inference System (ANFIS) Approach

... (CFA) using Structural Equation Modeling (SEM) using LISREL ...scores using the Bartlet method which was found to give better reliability when com- pared to the Andersen―Rubin ... See full document

9

Forecasting the Saudi Arabia Stock Prices Based on Artificial Neural Networks Model

Forecasting the Saudi Arabia Stock Prices Based on Artificial Neural Networks Model

... (2) using back propagation network (BPN) to predict the buy/sell points (wave peak and wave trough) of stock price and (3) adopting case based dynamic window (CBDW) to further improve the forecasting ... See full document

10

A Comparative Study of ANFIS Membership Function to Predict ERP User Satisfaction using ANN and MLRA

A Comparative Study of ANFIS Membership Function to Predict ERP User Satisfaction using ANN and MLRA

... In this project author can produced a comparative study of ANFIS Adaptive neuron fuzzy interference system based prediction using various membership functions and ANN Artificial neural n[r] ... See full document

5

Kinematics Analysis and Simulation of 6-DOF Industrial Robot

Kinematics Analysis and Simulation of 6-DOF Industrial Robot

... Abstract: The KR 210 R2700 extra type manipulator is selected as the research object. The kinematics mathematical model is established by the standard D-H parameter method, and the forward and inverse kinematics ... See full document

8

ON THE EXISTENCE OF SOLUTION FOR AN INVERSE PROBLEM

ON THE EXISTENCE OF SOLUTION FOR AN INVERSE PROBLEM

... Chakir Tajani was born in Meknes, Morocco. He received the degree of Doctor of Science, discipline applied mathematics from Ibn Tofail University, Faculty of sciences, Kenitra, Morocco in 2012. His research interest area ... See full document

13

Synchronization controller for a 3 RRR parallel manipulator

Synchronization controller for a 3 RRR parallel manipulator

... the inverse kinematic model, a sliding mode controller (SMC) is designed to keep the each actuator to track its desired ...constructed using Lyapunov stability condition to compensate the SYNC errors ... See full document

10

Controlling structures by inverse adaptive neuro fuzzy inference system and MR dampers

Controlling structures by inverse adaptive neuro fuzzy inference system and MR dampers

... Effectiveness of the proposed controller is dependent on defining a correlation between response of structure and control signals. Here, ANFIS calculates control force based on current and previous time steps of ... See full document

13

Online Full Text

Online Full Text

... respectively using the optimised ...of ANFIS to optimise the membership functions has increased the performance of the system by a high rate on both the buy and sell ... See full document

6

A NUMERICAL SOLUTION OF AN INVERSE PARABOLIC PROBLEM

A NUMERICAL SOLUTION OF AN INVERSE PARABOLIC PROBLEM

... where ∥ · ∥ denotes the usual Euclidean norm and α is called the regularization parameter. The choose of a suitable value of the regularization parameter α is crucial for the accuracy of the final numerical ... See full document

15

ANFIS Based Forward and inverse Kinematics of Robot Manipulator with five Degree of Freedom

ANFIS Based Forward and inverse Kinematics of Robot Manipulator with five Degree of Freedom

... and ANFIS models in prediction of carbon monoxide daily concentration, ELSEVIER", International journal for scientists and researchers in different disciplines interested in air pollution and its societal ... See full document

6

The kinematic determinants of anuran swimming performance: an inverse and forward dynamics approach

The kinematic determinants of anuran swimming performance: an inverse and forward dynamics approach

... Despite observed variation in the temporal patterns of all components of thrust across 23 strokes (N = 4 frogs), most propulsive strokes show two main phases. In the initial phase (Fig. 3, stages I, II and III), ... See full document

14

Classification of tb disease diagnosis using anfis

Classification of tb disease diagnosis using anfis

... acronym ANFIS derives its name from adaptive neuro fuzzy inference system. ANFIS is a hybrid neuro fuzzy technique that brings learning capabilities of neural networks to fuzzy inference ...introduce ... See full document

5

Reconfigurable Validation Model for Identifying Kinematic Singularities and Reach Conditions for Articulated Robots and Machine Tools

Reconfigurable Validation Model for Identifying Kinematic Singularities and Reach Conditions for Articulated Robots and Machine Tools

... response using the reconfigurable controller and factor(s) while suggesting investigation into higher DOF ...the kinematic modelling methodology for multi-axis machine tools and its CNC ...tools ... See full document

212

Modeling environmental indicators for land leveling, using Artificial Neural Networks and Adaptive Neuron-Fuzzy Inference System

Modeling environmental indicators for land leveling, using Artificial Neural Networks and Adaptive Neuron-Fuzzy Inference System

... the ANFIS prediction models, the available data were divided, similar to ANN modeling, into two randomly-selected subsets: training and testing datasets with the former used to develop and calibrate the model, ... See full document

18

Forward and Inverse Kinematic Analysis of Robotic Manipulators

Forward and Inverse Kinematic Analysis of Robotic Manipulators

... want to work. But the controlling of robot manipulator has been challenges with higher DOF. Position and orientation analysis of robotic manipulator is an essential step to design and control. In this paper a basic ... See full document

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