[PDF] Top 20 Application of Adaptive Neural Fuzzy Inference System for the Prediction of Software Defects
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Application of Adaptive Neural Fuzzy Inference System for the Prediction of Software Defects
... implemented Adaptive Neuro Fuzzy Inference device for software illness ...Neuro Fuzzy device field which implements ...Sugeno Fuzzy Inference system was derived ... See full document
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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 ...a neural network that is functionally the same as a Takagi-Sugeno type inference ...intelligent ... See full document
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Application of Artificial Neural Network and Adaptive Neural based Fuzzy Inference System Techniques in Estimating of Virtual Water
... MLP neural network Basically the MLP consists of three layers: the input layer, where the data are introduced to the network; the hidden layer, where the data are processed (that can be one or more), and the ... See full document
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Modelling tide prediction using linear model and adaptive neuro fuzzy inference system (ANFIS) in Semarang, Indonesia
... H Zhang, SM Gorelick. 2014. Coupled impact of sea level and tidal marsh restoration on endangered California clapper rail. Biological Conservation. 172: 89-100. HAA Guner and HA Yumuk.2014. Application of a ... See full document
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Prediction of Soil Fractions (Sand, Silt and Clay) in Surface Layer Based on Natural Radionuclides Concentration in the Soil Using Adaptive Neuro Fuzzy Inference System
... Soil texture influences the suitability of the soil as a medium for rooting [5]. Clay content is an important fac- tor for soil fertility, as it affects the structural and hydrological properties as well as the nutrient ... See full document
12
Solar Irradiance Prediction by a New Forecast Engine Composed Wavelet Packet Transform and Adaptive Neuro-Fuzzy Inference System
... the prediction in the last ...artificial neural networks [4],support vector regression and neuro-fuzzy system are widely used as forecasting approaches and have good forecasting performance ... See full document
9
Deduction of reservoir operating rules for application in global hydrological models
... derive fuzzy rules describing the way a reservoir is ...artificial neural network capable of mim- icking fuzzy logic, called the ANFIS adaptive-network-based fuzzy inference ... See full document
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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 chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction
... the neural-based models, 20 simulations are conducted, and the averaged results are collected for comparison ...functional neural network (RBFNN), and an adaptive neuro-fuzzy inference ... See full document
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Virtual Sensors for Safe Operation of Electrolyser and Hydrogen powered Car
... and application of hydrogen as an energy carrier for stationary and mobile applications, there is increasing pressure to ensure the safe handling and monitoring of this highly combustible ...Artificial ... See full document
14
Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... the Fuzzy Adaptive Learning Control/Decision Network (FALCON)-Based Fault Detector (FFD), and the Adaptive-Network-Based Fuzzy Inference System (ANFIS)-Based Fault Detector ... See full document
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INTELLIGENT SELF TUNING PID CONTROLLER USING HYBRID IMPROVED PARTICLE SWARM OPTIMIZATION FOR ULTRASONIC MOTOR
... system. In this method, 33000 data used as an input and output data which extracted from the experimental setup for prior paper and it's distributed into two inputs and one output. Whereas, all data separated into ... See full document
9
Computing air demand using the Takagi–Sugeno model for dam outlets
... In this study, a fuzzy rule-based model was developed for estimating air flow rate in two stages. In the first stage, local sub-regions were determined by analysing the pattern of input data. The regions can be ... See full document
17
Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques
... (SVM), Fuzzy Logic, M5 model tree, GRNN, ANFIS [25–33] for various problems in the field of civil ...Artificial Neural Network (ANN), with few studies on use of Adaptive Neuro-fuzzy ... See full document
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Experiment Analysis of Inertia Augmented Flywheel and Development of a Prediction Model using ANFIS
... data prediction model for Predicting the efficiency at variety of loads and speed was developed using the Adaptive Nero Fuzzy Inference ...such prediction model will also help to ... See full document
5
Control of Non Linear Two Mass Drive System using ANFIS
... while system must be robust to parameter change of the controlled ...the system that is caused as a result of existing long shaft between motor and ...drive system is used in many industrial ... See full document
11
Neuro fuzzy Modeling of an Eco friendly Melting Furnace Parameters using Bio fuels for the Agile Production of Quality Castings
... The developed neuro-fuzzy model in this paper can effectively estimate the melting rate based on input process variables viz. flame temperature, preheat air temperature, rotational speed of the furnace drum, ... See full document
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A NEURAL FUZZY APPROACH TO MODELING THE THERMAL BEHAVIOR OF POWER TRANSFORMERS
... the system used to match the available ...the system. The choice for the system structure should have enough parameters to reflect all the ... See full document
139
Classification of voltage stability states of a multi bus power system network using probabilistic neural network (PNN)
... accurate prediction of how vulnerable a current power system network is, which includes the identification of buses in a power system network which are most susceptible to voltage ...power ... See full document
7
SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY FEATURES
... “While traditional or ‘hard’ computing uses crisp values, or numbers, soft computing deals with soft values, or fuzzy sets. Soft computing is capable of operating with uncertain, imprecise and incomplete ... See full document
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