• No results found

[PDF] Top 20 Optimum Setting Strategy for WTGS by Using an Adaptive Neuro Fuzzy Inference System

Has 10000 "Optimum Setting Strategy for WTGS by Using an Adaptive Neuro Fuzzy Inference System" found on our website. Below are the top 20 most common "Optimum Setting Strategy for WTGS by Using an Adaptive Neuro Fuzzy Inference System".

Optimum Setting Strategy for WTGS by Using an Adaptive Neuro Fuzzy Inference System

Optimum Setting Strategy for WTGS by Using an Adaptive Neuro Fuzzy Inference System

... Generation System (WTGS), the data-driven Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to establish a sensorless wind speed ...(SCADA) System, the ... See full document

5

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

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

... The main objective of the ANFIS is to determine the optimum values of the equivalent fuzzy inference system parameters by applying a learning algorithm. The parameter optimization is done in ... See full document

5

Medium Term Load Forecasting using Adaptive Neuro Fuzzy Inference System

Medium Term Load Forecasting using Adaptive Neuro Fuzzy Inference System

... power system planning, operation and ...assessment, optimum planning of power production required a precise medium term load ...of using Adaptive Neuro Fuzzy Interference ... See full document

5

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

... The experimental data of target combine harvester were employed to train the network. The trained network has to be able to connect the inputs and outputs to be able to predict and model the behavior of the ... See full document

13

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

... the fuzzy logic approach to describe complicated systems, it has become popular and been successfully used to solve prediction purposes in various agricultural and engineering problems (Sarmadian and Mehrjardi, ... See full document

12

Predict the Inverse Kinematic Solution to Manipulate Duplicate Using Anfis

Predict the Inverse Kinematic Solution to Manipulate Duplicate Using Anfis

... automated system has more degrees of freedom And it is called (DOF) that required to perform a specific manipulator duplicate ...used Neuro System Fuzzy Inference) to the data that has ... See full document

9

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 ...groundwater using the modular neural ...drainage using BPNN, general regression neural network (GRNN), and MLR in ... 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

... operation strategy for sewerage systems in Taipei City is to set up pumping stations which are the major hydraulic facilities for inner rainwater ...sewerage system are to increase its storage capacity ... See full document

12

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

... a Fuzzy Inference System ...through fuzzy rules and incorporation with linguistic and numeric knowledge ...The adaptive neural fuzzy inference system combined the ... See full document

7

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)

... The use of an algorithm that has several agents or swarm intelligence, such as BFOA, gives us the opportunity to find an optimal solution since it involves sev- eral, relatively simple agents exploring the study area, ... See full document

25

Surge Detection System Using Gaussian Curve Membership Function

Surge Detection System Using Gaussian Curve Membership Function

... The surge phenomena is an unstable and undesirable operating condition of the compressor, occurring when the flow through it is reduced to the point where the compressor discharge pressure is less than the line pressure. ... See full document

8

Classification of voltage stability states 
		of a multi bus power system network using probabilistic neural network (PNN)

Classification of voltage stability states of a multi bus power system network using probabilistic neural network (PNN)

... power system network is, which includes the identification of buses in a power system network which are most susceptible to voltage ...power system networks ...practical system and the ... See full document

7

A NEURAL FUZZY APPROACH TO MODELING THE THERMAL BEHAVIOR OF POWER TRANSFORMERS

A NEURAL FUZZY APPROACH TO MODELING THE THERMAL BEHAVIOR OF POWER TRANSFORMERS

... neural fuzzy technique has been applied for modeling and prediction of the transformer top and bottom-oil ...computer system with 512 MB of RAM, the computation time was less than 35 seconds) of ... See full document

139

Uncertainty analysis through development of seismic fragility curve for an SMRF structure using an adaptive neuro-fuzzy inference system based on fuzzy C-means algorithm

Uncertainty analysis through development of seismic fragility curve for an SMRF structure using an adaptive neuro-fuzzy inference system based on fuzzy C-means algorithm

... Two dierent training sets of the mean and the standard deviation have been tested, nding that both performed equally well; hence, ANFIS with FCM is chosen, since it requires lower computational time and better ... See full document

16

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

... In this paper, magnetic field modelling of power transmission lines is briefed in Section II. Section III is to illustrate the utilization of the FEM for the magnetic field modelling described in Section II. Section IV ... See full document

7

Analysis of Liver Cancer using Adaptive Neuro Fuzzy Inference System (ANFIS)

Analysis of Liver Cancer using Adaptive Neuro Fuzzy Inference System (ANFIS)

... ABSTRACT: In the fast developing world, cancer is one of the deadly diseases. Although there is much medical advancement, curing of cancer disease is not achievable. Among the cancer disease, Liver cancer is the second ... See full document

7

Machining Process Optimization By Colony Based Cooperative Search Technique

Machining Process Optimization By Colony Based Cooperative Search Technique

... Special insects like ants, termites, and bees that live in a colony are capable o f solving their daily complex life problems. These behaviours which are seen in a special group o f insects are called swarm intelligence. ... See full document

8

Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro Fuzzy Inference System (ANFIS)

Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro Fuzzy Inference System (ANFIS)

... proposed system first of all we filter out the noise by Noise Adaptive Fuzzy Switching Median Filter (NAFSMF) and then detect Edges using Adaptive Neuro-Fuzzy ... See full document

6

Generating Rules for Advanced Fuzzy Resolution Mechanism to Diagnosis Heart Disease

Generating Rules for Advanced Fuzzy Resolution Mechanism to Diagnosis Heart Disease

... the Adaptive Neuro-Fuzzy Inference System for Heart ...MATLAB fuzzy logic toolbox are presented in Section 3 and experimental result indicates that the proposed Generating rules ... See full document

7

Adaptive Neuro-Fuzzy Inference System Based Grading of Basmati Rice Grains Using Image Processing Technique

Adaptive Neuro-Fuzzy Inference System Based Grading of Basmati Rice Grains Using Image Processing Technique

... etc. Neuro-fuzzy systems (networks) are one of the most visible sections of a hybrid system that can apply a combination of ANN and fuzzy ...Furthermore, Fuzzy is quite good in handling ... See full document

10

Show all 10000 documents...