[PDF] Top 20 Palmprint Identification Based on Adaptive Neuro Fuzzy Inference System
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Palmprint Identification Based on Adaptive Neuro Fuzzy Inference System
... a fuzzy inference system (FIS) implemented in the framework of an adaptive fuzzy neural ...of fuzzy systems and neural ... See full document
7
Reasoning of the student’s performance based on adaptive neuro-fuzzy inference system
... complete fuzzy rule base in order to solve the problem of the incomplete and vagueness in the decision made by the ...the adaptive network fuzzy inference systems to reason the student’s ... See full document
23
Adaptive Neuro Fuzzy Inference System Based Solar Energy Planning
... Forecasting can reduce the uncertainty associated with variable renewable energy generation technologies. This allows generators or grid operators to plan generation service or balancing services ahead of variations in ... See full document
21
Adaptive Neuro Fuzzy Inference System based Optical Character Recognition
... Optical character recognition is a complex task. It may not be easy all the time as image contains noise and complete noise removal is not possible. In this paper, a system is showed for recognising optical ... See full document
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Steady State Stability Analysis of a CSI Fed Synchronous Motor Drive System with Damper Windings Included using ANFIS
... criterion based on small perturbation model of a adaptive neuro-fuzzy inference system (ANFIS) based current source inverter fed synchronous motor (CSIFSM) drive ... See full document
14
“Genetically Tuned Optimization Of Plastic Extrusion Process: A Litreture Review”
... Research based on various approaches, including Taguchi technique, artificial neural networks (ANN), fuzzy logic, genetic algorithms (GA),Adaptive Neuro fuzzy inference ... See full document
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NEW MODEL TRANSFORMATION USING REQUIREMENT TRACEBILITY FROM REQUIREMENT TO UML BEHAVIORAL DESIGN
... PI, fuzzy, hybrid fuzzy-PI, GA-PI and adaptive neuro-fuzzy inference system (ANFIS) controller based soft switching inverter using transformer, which can generate ... See full document
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Designing full-order sliding mode controller based on ANFIS approximator for uncertain nonlinear chaotic systems
... of system has been demonstrated adequately even in presence of ...of system dynamics is uncertain and only some input-output data is partly available, adaptive neuro-fuzzy ... See full document
8
Solar Irradiance Prediction by a New Forecast Engine Composed Wavelet Packet Transform and Adaptive Neuro-Fuzzy Inference System
... B.1. Recurrence quantification analysis (RQA) In order to go beyond the visual impression yielded by RPs, several measures of complexity which quantify the small scale structures in RPs have been proposed and are known ... See full document
9
Study of connectivity properties and network topology for neuroimaging classification by using adaptive Nero fuzzy inference system
... To conclude, this paper explains a new framework in which the graph obtained from the ROI of the brain is split into multiple levels based on thresholds. Then two different kernels are used to quantify the network ... See full document
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AN Adaptive Neuro Fuzzy Inference System Control For A Bearingless Induction Motor Based On A Disturbance Observer
... The bearing-less induction machine (BIM) has the elements of levitation and spin. Based on its particular capacity, the BIM can keep running in a unique situation without grinding and wear. It is used in ... See full document
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An Adaptive Neuro-Fuzzy Inference System (ANFIS) to Predict of Cadmium (Cd) Concentrations in the Filyos River, Turkey
... Takagi-Sugeno fuzzy inference ...is based on the first-order Sugeno fuzzy ...with fuzzy systems is to exercise learning ability of neural network while the learning capability is a ... See full document
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Rainfall Forecasting in Banyuwangi Using Adaptive Neuro Fuzzy Inference System
... This means that not all areas that near the equator has a tropical climate [4]. Aldrian [5] divided the climate based on rainfall patterns into three regions, namely A, B, and C. Region A, B, and C respectively ... See full document
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Response Simulation, Data Cleansing and Restoration of Dynamic and Static Measurements Based on Deep Learning Algorithms
... The adaptive neuro-fuzzy inference system (ANFIS) is a family of deep learning algorithm, which incorporates the benefits of adaptive control technique, artificial neural ... See full document
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Adaptive Neuro-Fuzzy Inference System for the Computation of the Characteristic Impedance and the Effective Permittivity of the Micro-Coplanar Strip Line
... method based on adaptive neuro-fuzzy inference system (ANFIS) for computing the effective permittivity and the characteristic impedance of the micro-coplanar strip (MCS) line is ... See full document
13
Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro Fuzzy Inference System (ANFIS)
... is based on an Adaptive Neuro-Fuzzy Inference System ...Noise Adaptive Fuzzy Switching Median Filter (NAFSMF) and then find the edges using proposed ANFIS ... See full document
6
Power Factor Correction of Three Phase Diode Rectifier at Input Stage Using Artificial Intelligent Techniques for DC Drive Applications
... controller, Fuzzy Logic Controller (FLC) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and the results are compared for the power factor ...of Fuzzy controller and ... See full document
9
Classification of MRI Brain Images Using Neuro Fuzzy Model
... the neuro fuzzy classifier. The neuro fuzzy classifier is used for classification is the Adaptive Network based Fuzzy Inference ...developed neuro ... See full document
5
Adaptive Neuro-Fuzzy Inference System Based Grading of Basmati Rice Grains Using Image Processing Technique
... huller system followed by whitening ...and identification is built based on morphological features using digital image processing and knowledge based adaptive neuro-fuzzy ... See full document
10
Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET
... proposed Fuzzy logic control method to improve the performance and reliability of the multicast routing protocols in ...nodes. Fuzzy logic is proposed to distinguish the strong and weak nodes in the ... See full document
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