[PDF] Top 20 Modelling the formation of Ozone in the air by using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case study: city of Yazd, Iran)
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Modelling the formation of Ozone in the air by using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case study: city of Yazd, Iran)
... on modelling and predicting the formation of ozone in the air of Mashhad city using a neural fuzzy network based on inference fuzzy-adaptive ... See full document
5
An Adaptive Neuro-Fuzzy Inference System (ANFIS) to Predict of Cadmium (Cd) Concentrations in the Filyos River, Turkey
... the neuro-fuzzy networks to evaluate the concentration of arsenic in Huang gang Creek, ...computer modelling of heavy metal ...multi-output adaptive neural fuzzy inference ... See full document
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MODELLING AUSTRALIA’S EXPORT AIR CARGO DEMAND USING AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM APPROACH
... international air cargo mode underpins the country’s international trade. Air and ocean transport are the only two modes available for any trade being shipped to or from ...efficient air cargo ... See full document
15
The CFD Provides Data for Adaptive Neuro-Fuzzy to Model the Heat Transfer in Flat and Discontinuous Fins
... study, Adaptive Neuro-Fuzzy Inference System (ANFIS) approach was applied for predicting the heat transfer and air flow pressure drop on flat and discontinuous ...developed ... See full document
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Electricity Consumption Forecasting Using Adaptive Neuro Fuzzy Inference System (ANFIS)
... its formation in ...forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS), but most of their data are multivariate ...and Fuzzy Inference ... See full document
12
An Intelligent System For Forecasting Electric Load And Price
... an Adaptive Neuro Fuzzy Inference System (ANFIS) Based short-term load forecasting model which forecast the electric ...technique using Adaptive Neuro Fuzzy ... See full document
6
Parameters Influencing the Optimization Process in Airborne Particles PM10 Using a Neuro Fuzzy Algorithm Optimized with Bacteria Foraging (BFOA)
... of air is a matter of public health, causing issues mainly in the respiratory and cardiovascular systems, specifically the PM10 ...an Adaptive Neuro Fuzzy Inference System ... See full document
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Modelling tide prediction using linear model and adaptive neuro fuzzy inference system (ANFIS) in Semarang, Indonesia
... Australia using Neuro fuzzy and neural network technique was developed by Karimi at ...the Neuro fuzzy and neural network models had similar forecast accuracy, and their accuracy were ... See full document
5
Yarn Strength Modelling Using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gene Expression Programming (GEP)
... of system could map the relationship between input and output parameters and generates some linguistic physical information about the process ...An adaptive neuro-fuzzy inference ... See full document
13
Sleep Apnea Detection Using Adaptive Neuro Fuzzy Inference System
... effort, air- flow, etc. in sleep laboratories using specific systems and participating personnel ...idea using the comparison exam- ple recordings of the ECG derived respiration (EDR) with common ... 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)
... 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
A NEURAL FUZZY APPROACH TO MODELING THE THERMAL BEHAVIOR OF POWER TRANSFORMERS
... From Figure 5.21, the 3 input ANFIS model demonstrates that by using more input variables, the performance is improved dramatically. Although, a small overfitting occurred between the training and testing RMSE ... See full document
139
Classification of voltage stability states of a multi bus power system network using probabilistic neural network (PNN)
... It is a pattern classification algorithm used for non- linear, automatic and non-parametric pattern recognition. The input layer consists of neurons and each neuron constitutes a predictor variable which is then fed to ... See full document
7
ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR OKRA YIELD PREDICTION
... tions and weather shifts at different loca- tions and areas. There is a need to develop area specific forecasting models based on time series data to help the policy makers for taking effective decisions to counter ad- ... See full document
8
Transformer’s Load Forecasting to Find the Transformer Usage Capacity with Adaptive Neuro-Fuzzy Inference System Method
... by fuzzy inference system and artificial neural network ...of Neuro-fuzzy in case of modeling nonlinear ...the system parameters by error norms and learns the system by ... See full document
7
Prediction of Combine Harvester Performance Using Hybrid Machine Learning Modeling and Response Surface Methodology
... desired system (combine in this study) give better judge about the performance of various sectors [14, ...[1]. System modeling using conventional mathematical tools such as deferential relations is ... See full document
13
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
An Intelligent Evaluation of Enterprise System
... represents fuzzy rules and the third layer represents output variables. Fuzzy sets are encoded as (fuzzy) connection ...a fuzzy system like this to apply a learning algorithm to ...the ... See full document
11
Flood Forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS)
... In this study, basic model is constructed by 2 inputs and 1 output. The inputs are rainfall data and peak discharge data while for the output is predicted discharge. In this ANFIS model 70% data is used for Training and ... See full document
5
Diagnosis of Hepatitis using Adaptive Neuro Fuzzy Inference System (ANFIS)
... paper, Adaptive Neuro-Fuzzy Inference System (ANFIS) was employed to invoke neural network that provided structures for fuzzy inference engine (FIE) in order to learn ... See full document
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