adaptive fuzzy neural network
An Adaptive Fuzzy Neural Network Model for Bankruptcy Prediction of Listed Companies on the Tehran Stock Exchange
... on fuzzy neural networks. The present study proposes fuzzy neural networks to predict bankruptcy of the listed companies in the Tehran stock ...proposed fuzzy neural ...
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Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques
... including Adaptive Neuro-fuzzy Inference System (ANFIS), Artificial Neural Network (ANN) and Generalized Neural Network (GRNN) were applied to model and estimate the punching ...
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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 ...
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Modelling tide prediction using linear model and adaptive neuro fuzzy inference system (ANFIS) in Semarang, Indonesia
... Forecasting methods are techniques in Statistical tools for decision making. Forecasting approach for time series data can be done using two ways, the linear and non-linear approach. Forecasting methods with linear ...
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Calculation of Resonant Frequency for a Microstrip Antenna with Vertical Slots Using Applying Adaptive Network-Based Fuzzy Inference System
... applying adaptive network-based fuzzy inference system (ANFIS) for analysis of the resonant frequency of a microstrip rectangular patch antenna with two equal size slots which are placed on the patch ...
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FAIR: A Fuzzy ART Network Based Scheme for Retrieving Useful Information from Blogs
... a Fuzzy Adaptive Resonance Theory (ART) network based Information Retrieval (FAIR) scheme by combining Fuzzy ART neural network, Latent Semantic Indexing (LSI), and association ...
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A Solution to the Problem of Extrapolation in Car Following Modeling Using an online fuzzy Neural Network
... Fuzzy neural networks (FNN) have been widely employed in various modeling and identification applications ...inherently fuzzy inference systems (FIS) which are at least partly learned from ...
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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... of fuzzy logic and neural networks, a better understanding of the heuristics underlying the motor fault de- tection/diagnosis process and successful fault detection/diagnosis schemes can be ...two ...
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Computing air demand using the Takagi–Sugeno model for dam outlets
... An adaptive neuro-fuzzy inference system (ANFIS) was developed using the subtractive clustering technique to study the air demand in low-level outlet ...Levenberg-Marquardt neural network ...
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Comparison of Artificial Intelligence Techniques for river flow forecasting
... of Adaptive Neuro Fuzzy Inference Sys- tem (ANFIS) and Artificial Neural Network (ANN) methods, Generalized Regression Neural Networks (GRNN) and Feed Forward Neural Networks ...
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Adaptive filtering using Lyapunov theory and artificial intelligent techniques
... Further investigations presented in this thesis include the theory and design of RBF neural network-based nonlinear adaptive filters with Lyapunov stability, fuzzy adaptive filters with [r] ...
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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)
... A study was conducted in 2013 on modelling and predicting the formation of ozone in the air of Mashhad city using a neural fuzzy network based on inference fuzzy-adaptive systems. It ...
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Knowledge Discovery and Diseases Prediction: A Comparative Study of Machine Learning Techniques
... (KNN), Neural Network (NN), Adaptive Network-Based Fuzzy Inference System (ANFIS), Support Vector Regression (SVR) and Classification and Regression Trees (CART) are used for diseases ...
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An adaptive fuzzy regression model for the prediction of dichotomous response variables
... an adaptive technique in the prediction of dichotomous response variable by combining fuzzy concept with statistical logistic ...the adaptive model was calculated and compared with fuzzy ...
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A Hybrid Edge Detection Algorithm for Salt- and-Pepper Noise
... Abstract—This paper presents a hybrid edge detection algorithm in situations where the image is corrupted by Salt- and-Pepper noise. Edge detection is an important pre- processing step in image analysis. Successful ...
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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 ...
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Comparative Predictive Analysis of Material Removal Rate (MRR) of Wire Electrical Discharge Machining (WEDM) of High Carbon High Chromium Die Steel
... as fuzzy logic (FL) Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS) are used as unconventional tools for modelling of nonlinear data mining ...of ...
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A NEURAL FUZZY APPROACH TO MODELING THE THERMAL BEHAVIOR OF POWER TRANSFORMERS
... the Adaptive Neuro-Fuzzy Inference System (ANFIS), Multilayer Feedforward Neural Network (MFNN) and Elman Recurrent Neural Network (ERNN) are chosen to compare with the ...
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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... Hybrid neural networks – based systems, are based on an architecture which integrates the neural networks and the fuzzy logic based system in the form of parallel ...the neural networks and ...
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Hybrid Models Performance Assessment to Predict Flow of Gamasyab River
... of neural networks for modeling precipitation - runoff in the basin Aq Chay Iran ...the neural network ...artificial neural networks and Adaptive Neural-Fuzzy Inference ...
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