wavelet-based fuzzy neural network
Dual Tree Complex Wavelet Transform, Probabilistic Neural Network and Fuzzy Clustering based on Medical Images Classification – A Study
... A new-fangled algorithm for Brain Tumor Classification is proposed. This novel scheme is a blend of Dual tree Wavelet Transform, Probabilistic Neural Network and the fuzzy clustering with the ...
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A Differential Evolution and Spatial Distribution based Local Search for Training Fuzzy Wavelet Neural Network
... Many parameter-tuning algorithms have been proposed for training Fuzzy Wavelet Neural Networks (FWNNs). Absence of appropriate structure, convergence to local optima and low speed in learning ...
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Tool Wear Classification Using Fuzzy Logic for Machining of Al/SiC Composite Material
... Artificial Neural Network (ANN) can approximate con- tinuous nonlinear functions well, and it is based on the mathematical principles and models of biological neu- rons and the nervous ...
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Wavelet Neural Network with Random Wavelet Function Parameters
... learning based on chain rule of differentiation has been employed to adjust the wavelet functions and weight ...of fuzzy WNN are initiated using Particle Swarm Optimization (PSO) and then a gradient ...
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Control of Nonlinear Industrial Processes Using Fuzzy Wavelet Neural Network Based on Genetic Algorithm
... corresponding to a sub-WNN consists of single scaling wavelets. The difficulties of selecting wavelets are reduced and orthogonal least-square (OLS) algorithm is used to determine the number of fuzzy rules and to ...
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COMPARING EVOLUTIONARY ALGORITHMS ON TUNING THE PARAMETERS OF FUZZY WAVELET NEURAL NETWORK
... of fuzzy concepts, wavelet functions, and neural ...performance based on Mean-Best-Fitness, Mean-Fitness-Evaluation and STDEV-Best-Fitness factors were compared using Friedman statistical ...
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HHT Fuzzy Wavelet Neural Network to Identify Incipient Cavitations in Cooling pump of Engine
... To demonstrate the performance of the FWNN-based approach on cavitations classification, comparisons are made with two types of artificial neural networks, namely wavelet neural networks and ...
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Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For The Motor
... According to this article, the date which is used to analysis comes from the Case Western Reserve university provides in the network. Gather the asynchronous machine four condition’s signals as normal, rolling ...
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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 ...
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Hybrid Models Performance Assessment to Predict Flow of Gamasyab River
... of wavelet - neural network for the Ligvan Chai (Tabriz, Iran) catchment has been ...improvement based in the precipitation-runoff modeling using a combination of artificial neural ...
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Three layer wavelet based modeling for river flow
... The forecasting arguable remains somewhat a troublesome task for hydrologists who distinguish its crucial part in environmental, water assets management and in water-related disaster control. This process remains highly ...
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The Prediction of Stock Price Based on Improved Wavelet Neural Network
... three-layer network because it can approximate arbitrary ...different wavelet functions, then there will be different perfor- mance ...Morlet wavelet function as activation ...
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Vol 2, No 11 (2014)
... the neural networks, improves the performance & operation of induction motor ...conventional, Fuzzy and Neural Network controller ...of fuzzy logic and artificial neural ...
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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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FAIR: A Fuzzy ART Network Based Scheme for Retrieving Useful Information from Blogs
... a Fuzzy Adaptive Resonance Theory (ART) network [2] based Information Retrieval (FAIR) scheme by integrating Fuzzy ART, Latent Semantic Indexing (LSI) [6], and association rules discovery [9], ...
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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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Neuro fuzzy Modeling of an Eco friendly Melting Furnace Parameters using Bio fuels for the Agile Production of Quality Castings
... represent(s) fuzzy rules and the last layer represents output variables. Fuzzy sets are encoded as (fuzzy) connection ...of fuzzy rules ...
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Analytical and numerical solution of differential equations with generalized fuzzy derivative
... using fuzzy artificial neural network (FANN) is more modern than the previous subject, where it goes back to ...approximate fuzzy initial value ...solving fuzzy and non-fuzzy ...
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Comparative Study of Static and Dynamic Artificial Neural Network Models in Forecasting of Tehran Stock Exchange
... the Fuzzy method is its ability to work with approximate data and find explicit ...the Fuzzy set is an appropriate method for the analysis of complex systems and decision ...values, Fuzzy logic ...
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Comparative Study of Various Neural Network Models for Software Quality Estimation
... of neural network in software quality estimation using OO ...Ward neural network and General Regression neural network are used to predict the quality of software and it is found ...
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