Fuzzy Wavelet Neural Network (FWNN)
HHT Fuzzy Wavelet Neural Network to Identify Incipient Cavitations in Cooling pump of Engine
... the fuzzy wavelet neural network to optimize global parameters and can preciously confirm the incipient ...external fuzzy circumstance such as engine and radiator vibration. ...
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Control of Nonlinear Industrial Processes Using Fuzzy Wavelet Neural Network Based on Genetic Algorithm
... of Fuzzy Wavelet Neural Network (FWNN) trained genetic algorithm (FWN-GA) for control of nonlinear industrial ...scheme, neural control system synthesis is performed in the closed-loop ...
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A Differential Evolution and Spatial Distribution based Local Search for Training Fuzzy Wavelet Neural Network
... as fuzzy logic, Neural Networks (NNs), and wavelet neural networks have been ...Especially fuzzy wavelet neural network has been used as a viable tool for solving ...
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COMPARING EVOLUTIONARY ALGORITHMS ON TUNING THE PARAMETERS OF FUZZY WAVELET NEURAL NETWORK
... years Fuzzy Wavelet Neural Network (FWNN) has been used as one of the most effective methods of soft ...a Neural Network that has been combined by fuzzy rules for dealing ...
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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 wavelet - neural network for the Ligvan Chai (Tabriz, Iran) catchment has been ...artificial neural network-Wavelet is performed, which shows that the model which ...
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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 ...feed-forward ...
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Wavelet Neural Network with Random Wavelet Function Parameters
... the wavelet functions and weight ...of fuzzy WNN are initiated using Particle Swarm Optimization (PSO) and then a gradient descent algorithm is applied to find accurate values of these parameters ...
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A hybrid group method of data handling (GMDH) with the Wavelet Decomposition for Time Series Forecasting: A review
... artificial neural networks since such evolutionary algorithms are particularly useful for dealing with complex problems having large search spaces with many local ...type neural network for each ...
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TYPE 2 FUZZY MULTIPLICATION WAVELET NEURAL NETWORK MODEL DESIGN FOR CLASSIFICATION OF BREAST CANCER
... to neural network in order to breast cancer classification of breast ...artificial neural network is used for medical diagnosis and particle swarm optimization is used for training this ...
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Brain Tumor Segmentation Based on SFCM using Neural Network
... Complex wavelet change (DTCWT). In the last stage, Back Propagation Neural Network (BPN) are utilized to characterize the Normal and strange ...Spatial Fuzzy C-Means ...
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IDENTIFICATION AND CLASSIFICATION OF TEXTILE DEFECTS USING WAVELET FRAMES AND NEURAL NETWORKS
... of wavelet coefficients of ...a wavelet coefficient and its ...techniques. Neural networks (NN),fuzzy modeling (FM) based on product – space fuzzy clustering and adaptive network ...
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SME DEVELOPMENT BASED ON INFORMATION AND COMMUNICATION TECHNOLOGY TO GLOBAL MARKET IN DISTRICT KENDAL
... Artificial Neural Network (ANN), Fuzzy Set Theory and Rough Set ...artificial neural networks e.g. Dynamic Filter- Weights Neural Network [2, 3], Local Linear Wavelet ...
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Wavelet Neural Network for Classification of Bundle Branch Blocks
... methods, neural network and hybrid approaches ...discrete wavelet transform, ...with neural network, fuzzy logic or genetic algorithm, ...
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Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For The Motor
... With the development of science and technology, electrical equipment has become the main driving force in the modern industry. The process of production will be forced to suspend if the electrical equipment broken down, ...
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Neural Network Regressions with Fuzzy Clustering
... the Fuzzy C-means algorithm for shapes of ellipses and ellipsoids [4], there are still strict restrictions on the clusters’ ...problem. Fuzzy c-regression can solve the problem partially, only when the ...
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Fuzzy Neural Network for Clustering and Classification
... a fuzzy neural network for clustering and ...this fuzzy neural network two training algorithm are implemented for clustering and ...General Fuzzy min max Neural ...
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Artificial Intelligence and its Application as an Integrated Approach
... AlphaGo has revolutionized the AI space with the most recent feat that involved beating top Go player, Lee Sedol. AlphaGo essentially uses a Monte Carlo tree search to base its move upon previously “learned” knowledge ...
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Wavelet based Multi Class image classification using Neural Network
... In the proposed image classification system we have introduced new approach using Haar wavelet decomposition and Back Propagation Neural Network. We used the correlation coefficient, mean and ...
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Forecasting of Daily Gold Price by Using Box-Jenkins Methodology
... The data set of the Gold price from Jan 1990 to Dec 2009 was used for estimation purpose and by using the error comparison, Wavelet Neural Network and Wavelet Neural Network with Trend[r] ...
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