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[PDF] Top 20 Coastal Water Level Prediction Model Using Adaptive Neuro-fuzzy Inference System

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Coastal Water Level Prediction Model Using Adaptive Neuro-fuzzy Inference System

Coastal Water Level Prediction Model Using Adaptive Neuro-fuzzy Inference System

... and fuzzy reasoning to map an input space to an output space [6], having the ability to combine the verbal power of a fuzzy system with the numeric power of a neural system adaptive ... See full document

8

Survey of fuzzy inference model and impact on QOS parameters using 
		adaptive neuro fuzzy inference system in MANET

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

5

Modelling tide prediction using linear model and adaptive neuro fuzzy 
		inference system (ANFIS) in Semarang, Indonesia

Modelling tide prediction using linear model and adaptive neuro fuzzy inference system (ANFIS) in Semarang, Indonesia

... the prediction of monthly shoreline changes in northeastern ...ARIMAX model have more superior performances than ARIMA ...sea level in Darwin Harbor Australia using Neuro fuzzy ... See full document

5

A Novel Type-2 Adaptive Neuro Fuzzy Inference System Classifier for Modelling Uncertainty in Prediction of Air Pollution Disaster (RESEARCH NOTE)

A Novel Type-2 Adaptive Neuro Fuzzy Inference System Classifier for Modelling Uncertainty in Prediction of Air Pollution Disaster (RESEARCH NOTE)

... Type-2 fuzzy set theory is one of the most powerful tools for dealing with the uncertainty and imperfection in dynamic and complex ...type-2 fuzzy sets and soft computing methods are rapidly emerging in the ... See full document

6

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

... Takagi-Sugeno fuzzy inference ...currently using in hydrological processes (Bisht & Jangid, ...for prediction of membership function parameter (Jang, Sun, & Mizutani, ...with ... See full document

11

Application of several data-driven techniques to predict a standardized precipitation index

Application of several data-driven techniques to predict a standardized precipitation index

... by using the adaptive neuro-fuzzy inference system (ANFIS), the M5P model tree and the multilayer perceptron ...signals using factor analysis, and subsequently, the ... See full document

8

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

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

... an Adaptive Neuro Fuzzy Inference System (ANFIS) model, to predict the key ERP outcome “User Satisfaction” using causal factors present during an implementation as ... See full document

9

Developing ANFIS-PSO Model to Predict Mercury Emissions in Combustion Flue Gases

Developing ANFIS-PSO Model to Predict Mercury Emissions in Combustion Flue Gases

... hybrid model of ANFIS-PSO which is an integration of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) has shown to deliver promising results ... See full document

31

Short Term Electric Load Forecasting of 132/33KV Maiduguri Transmission Substation using Adaptive Neuro Fuzzy Inference System (ANFIS)

Short Term Electric Load Forecasting of 132/33KV Maiduguri Transmission Substation using Adaptive Neuro Fuzzy Inference System (ANFIS)

... on Adaptive Neuro-Fuzzy Inference System ...nature. Adaptive Neuro- fuzzy based Inference System (ANFIS), an integrated system, comprising of ... See full document

7

Employee Performance Appraisal System Using Adaptive Neuro Fuzzy Inference System (Anfis): A Case Study of Amik Pakarti Luhur

Employee Performance Appraisal System Using Adaptive Neuro Fuzzy Inference System (Anfis): A Case Study of Amik Pakarti Luhur

... Evaluation Model is made with Adaptive Neuro Fuzzy Inference System (ANFIS) Sugeno method and Toolbox Matlab ...the system meet the minimum standard quality, thus, the ... See full document

8

Comparative study of ANN and ANFIS prediction models for thermal error compensation on CNC machine tools

Comparative study of ANN and ANFIS prediction models for thermal error compensation on CNC machine tools

... the Adaptive Neuro-Fuzzy System (ANFIS), have both been described by Jang ...type inference model. The ANFIS is a hybrid intelligent system that takes the advantages of ... See full document

11

Adaptive Neuro-fuzzy Inference System Prediction of Zn Metal Ions Adsorption by γ-Fe2o3/Polyrhodanine Nanocomposite in a Fixed Bed Column

Adaptive Neuro-fuzzy Inference System Prediction of Zn Metal Ions Adsorption by γ-Fe2o3/Polyrhodanine Nanocomposite in a Fixed Bed Column

... and system modeling ...network system is adaptive neuro fuzzy inference system (ANFIS) ...the fuzzy inference system with a back-propagation learning ... See full document

7

Online Full Text

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... For Adaptive Neuro-Fuzzy Inference System (ANFIS) based soft sensor models, when the prediction accuracy is analyzed, it is assumed that both the data used to train the ... See full document

6

Solar Irradiance Prediction by a New Forecast Engine Composed Wavelet Packet Transform and Adaptive Neuro-Fuzzy Inference System

Solar Irradiance Prediction by a New Forecast Engine Composed Wavelet Packet Transform and Adaptive Neuro-Fuzzy Inference System

... term prediction model based on wavelet packet transform and an adaptive neuro-fuzzy inference system with a high forecasting accuracy that depends on previous weekly ... See full document

9

Adaptive Neuro-Fuzzy System for Cancer

Adaptive Neuro-Fuzzy System for Cancer

... and fuzzy logic and is based on Takagi–Sugeno fuzzy inference ...of fuzzy logic in order to give enhanced prediction capabilities ...and fuzzy logic principles, it has potential ... See full document

5

“Genetically Tuned Optimization Of Plastic Extrusion Process: A Litreture Review”

“Genetically Tuned Optimization Of Plastic Extrusion Process: A Litreture Review”

... based model using the generalized Newtonian approach was employed, to investigate pressure drop, along with flow and temperature uniformity in the ...numerical model, in order to pinpoint the ... See full document

7

Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing

Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing

... forms may be pure data or the input results of other neurons, and the output forms may be the results of the final process or the input data of other neurons (Kim and Kim, 2008). Figure 2 is a general architecture of a ... See full document

12

Experiment Analysis of Inertia Augmented Flywheel and Development of a Prediction Model using ANFIS

Experiment Analysis of Inertia Augmented Flywheel and Development of a Prediction Model using ANFIS

... Compact flywheel was mounted with test bed and trials were conducted at the engine speed of 1300 rpm. Rope brake dynamometer was used for measurement of transmitted torque and power of the flywheel. With the use of dead ... See full document

5

A Hybrid AI approach based on Genetic Algorithm and ANFIS for Heart Disease Diagnosis

A Hybrid AI approach based on Genetic Algorithm and ANFIS for Heart Disease Diagnosis

... the level of fit of the individual ...predictive model on a dataset that is not used in training it by selecting the most relevant features from heart disease ... See full document

10

Optimization of functional Spirulina cookies on their sensory attributes

Optimization of functional Spirulina cookies on their sensory attributes

... suspension system is to isolate a vehicle body from road irregularities in order to maximize passenger ride comfort and retain continuous road wheel contact in order to provide road holding (Lin and ... See full document

10

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