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[PDF] Top 20 Computation of Magnetic Field Distribution by Using an Adaptive Neuro-Fuzzy Inference System

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Computation of Magnetic Field Distribution by Using an Adaptive Neuro-Fuzzy Inference System

Computation of Magnetic Field Distribution by Using an Adaptive Neuro-Fuzzy Inference System

... involving magnetic field effects around the transmission line caused by circular cross-section of high voltage ...of magnetic field analysis governed by empirical mathematical expressions can ... See full document

7

Diagnosis of Hepatitis using Adaptive Neuro Fuzzy Inference System (ANFIS)

Diagnosis of Hepatitis using Adaptive Neuro Fuzzy Inference System (ANFIS)

... for fuzzy inference engine to learn information about the normalized ...design fuzzy set for the linguistic ...of fuzzy inference engine to modify the input linguistic ...the ... See full document

9

Image Enhancement Using Adaptive Neuro-Fuzzy Inference System

Image Enhancement Using Adaptive Neuro-Fuzzy Inference System

... the computation time in real time implementation; in the first stage, new tristate switching median filter is applied on unknown images and then pixels (data) from filtered output NTSMF's output is obtained and ... See full document

7

Flood Forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS)

Flood Forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS)

... are computation of mean flow, standard deviation and probability through normal distribution ...as neuro-fuzzy systems can be used for ... See full document

5

Sleep Apnea Detection Using Adaptive Neuro Fuzzy Inference System

Sleep Apnea Detection Using Adaptive Neuro Fuzzy Inference System

... free distribution Apnea-ECG Database was used to evaluate our approach in this study, combined for the PhysioNet/Computers in Cardiology Challenge 2000 ...experts using standard criteria with respiration ... See full document

5

Classification of MRI Brain Images Using Neuro Fuzzy Model

Classification of MRI Brain Images Using Neuro Fuzzy Model

... of Magnetic Resonance Image brain image ...hybrid Neuro- fuzzy classifier ...the neuro classifier and the fuzzy classifier and overcomes the demerits of both the ...hand fuzzy ... See full document

5

Electricity Consumption Forecasting Using Adaptive Neuro Fuzzy Inference System (ANFIS)

Electricity Consumption Forecasting Using Adaptive Neuro Fuzzy Inference System (ANFIS)

... classified into short-term load forecasting (STLF), medium-term load forecasting (MTLF) and long-term load forecasting (LTLF). STLF forecasts load from one day or one week at most, MTF forecasts load one day to several ... See full document

12

An Intelligent System For Forecasting Electric
          Load And Price

An Intelligent System For Forecasting Electric Load And Price

... research field to increase reliability of power supply and provide optimal load and minimum price scheduling in an intelligent ...an Adaptive Neuro Fuzzy Inference System (ANFIS) ... See full document

6

Applying of an Adaptive Neuro Fuzzy Inference System for Prediction of Unsaturated Soil Hydraulic Conductivity

Applying of an Adaptive Neuro Fuzzy Inference System for Prediction of Unsaturated Soil Hydraulic Conductivity

... actual field measurements of unsaturated soil hydraulic conductivity under no changes of the soil ...implemented using the fuzzy logic toolbox of MATLAB (2002), a Sugeno type of approach (Takagi and ... See full document

12

Determination of the Relative Magnetic Permeability by Using an Adaptive Neuro-Fuzzy Inference System and 2D-FEM

Determination of the Relative Magnetic Permeability by Using an Adaptive Neuro-Fuzzy Inference System and 2D-FEM

... of fuzzy sets are used for indicating “very small”, “small”, “medium”, “large” and “very large” ...each fuzzy value such as VS is denoted by the control parameters p, q and ...(relative magnetic ... See full document

19

Article Description

Article Description

... of Magnetic Resonance Image brain image ...hand fuzzy logic technique is more accurate but it fully depends on expert knowledge, which may not always ...available. Fuzzy logic technique needs less ... See full document

5

Transformer’s Load Forecasting to Find the Transformer Usage Capacity with Adaptive Neuro-Fuzzy Inference System Method

Transformer’s Load Forecasting to Find the Transformer Usage Capacity with Adaptive Neuro-Fuzzy Inference System Method

... easy, there are several factors to consider [5]. Nowadays short term forecasting is used popularly in many fields such as electric load, traffic flow, stock exchange, disaster and wheather [6-9]. In the field of ... See full document

7

An Adaptive Neuro-Fuzzy Inference System (ANFIS) to Predict of Cadmium (Cd) Concentrations in the Filyos River, Turkey

An Adaptive Neuro-Fuzzy Inference System (ANFIS) to Predict of Cadmium (Cd) Concentrations in the Filyos River, Turkey

... from using back-propagation neural network (BPNN) and multiple linear regression ...the distribution of nitrate in groundwater using the modular neural ...drainage using BPNN, general ... See full document

11

Voltage Stability Monitoring Using Adaptive Neuro-Fuzzy Inference System

Voltage Stability Monitoring Using Adaptive Neuro-Fuzzy Inference System

... point. ADAPTIVE NEURO FUZZY INFERENCE SYSTEMhave recently received widespread attention from researchers for this ...implemented using multi-layered feed-forward neural networks trained ... See full document

6

Predict the Inverse Kinematic Solution to Manipulate Duplicate Using Anfis

Predict the Inverse Kinematic Solution to Manipulate Duplicate Using Anfis

... manipulator must exist geometrically. The iterative methods converge to only a single solution depending on the starting point and will not work near singularities [17]. In other words, for complex manipulators, these ... See full document

9

Surge Detection System Using Gaussian Curve Membership Function

Surge Detection System Using Gaussian Curve Membership Function

... control system will change the driver (turbine or motor) speed if possible to adjust to the new flow rate, but the speed of the large rotating mass (driver + compressor) often can't be changed quickly enough to ... See full document

8

An Intelligent Evaluation of Enterprise System

An Intelligent Evaluation of Enterprise System

... The fuzzy Logic model for software evaluation can be envisioned as involving a knowledge base and a processing ...the fuzzy rules needed for the ...the system in the processing ...the fuzzy ... See full document

11

Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks

Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks

... sewerage system are to increase its storage capacity prior to peak flows by reducing water levels in advance and to decrease flood/flooding probability by speeding up discharge rates during storm ...based ... See full document

12

Prediction of Combine Harvester Performance Using Hybrid Machine Learning Modeling and Response Surface Methodology

Prediction of Combine Harvester Performance Using Hybrid Machine Learning Modeling and Response Surface Methodology

... networks, fuzzy logic, ...the fuzzy method. Fuzzy method has a lot of benefits that one of this benefits is to process the improper ...data. Fuzzy method provides linguistic labels for ... See full document

13

Parameters Influencing the Optimization Process in Airborne Particles PM10 Using a Neuro Fuzzy Algorithm Optimized with Bacteria Foraging (BFOA)

Parameters Influencing the Optimization Process in Airborne Particles PM10 Using a Neuro Fuzzy Algorithm Optimized with Bacteria Foraging (BFOA)

... an Adaptive Neuro Fuzzy Inference System (ANFIS) which is later optimized, using a swarm intelli- gence technique, named Bacteria Foraging Optimization Algorithm ... See full document

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