fuzzy neural network prediction model
Applying Fuzzy Logic Model for Bending Rigidity Evaluation of Woven Fabrics
... artificial neural network, with corresponding experimental results in terms of absolute error % of prediction ...quantitative prediction of this property is still an issue, that needs to be ...
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Effective long term travel time prediction with fuzzy rules for tollway
... a fuzzy neural network incorporated with both imprecise and numerical information and developed a hybrid long-term travel time prediction model, which shows the better prediction ...
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An Adaptive Fuzzy Neural Network Model for Bankruptcy Prediction of Listed Companies on the Tehran Stock Exchange
... Mathematical model of neural networks use predetermined learning algorithm, and a cost ...artificial neural networks and fuzzy systems are significantly different from each other in terms of ...
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Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks
... market prediction system is introduced in this ...type-2 Fuzzy Clustering is implemented to create a prediction ...a Fuzzy type-2 Neural Network is used to perform the reasoning ...
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Sugeno Type Fuzzy Inference Model for Stock Price Prediction
... based fuzzy stock prediction system by applying a linear combination of the significant technical indicators as a consequent to predict the stock ...exploring neural network ...
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Soft Computing Stock Market Price Prediction for the Nigerian Stock Exchange
... intelligent’ prediction model. Two soft computing models- Artificial Neural Network (ANN) and Fuzzy Artificial Neural Network (FANN) hybrid model were used to ...
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FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE
... the fuzzy neural network’s basic principle, and proposes the wind power prediction model based on NWP data and fuzzy neural network ...the fuzzy neural ...
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An adaptive fuzzy regression model for the prediction of dichotomous response variables
... the prediction of dichotomous response variable by combining fuzzy concept with statistical logistic ...The model was tested on an oral cancer dataset in predicting oral cancer ...proposed ...
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A Fuzzy Probabilistic Neural Network for Student’s Academic Performance Prediction
... The model suggests a Probabilistic Neural Network hybridized with fuzzy logic to predict students’ performance and to classify them according to their similar ...Probabilistic Neural ...
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Neural and Fuzzy-Weighted-Neural Model for Water-Depth Prediction
... using fuzzy logic and neural network ...effective model configuration. (Rather et. al.,2012) [11] has applied the fuzzy based prediction to the spatial data model to ...
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A Hybrid Intelligent Model for Software Cost Estimation
... effort prediction is still a challenging endeavor in the field of software engineering, especially in handling uncertain and imprecise inputs and collinear ...intelligent model combining a neural ...
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Title : Detecting air pollution from Ariyalur meteorological data using fuzzy controlled optimized generative deep learning neural network Author (s) : S.Sagayaraj and Dr. N. Vetrivelan
... of fuzzy controlled optimized generative deep learning neural network (FCOGDN) approach based air quality prediction ...Markov Model [0.763], Backpropagation Neural Networks ...
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Price Prediction of Stock Market using Hybrid Model of Artificial Intelligence
... of neural network and fuzzy inference system to discover patterns in nonlinear and chaotic ...the prediction of stock price. The prediction was done by a nonlinear ...
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Analysis of Ammonia Nitrogen Content in Water Based on Weighted Least Squares Support Vector Machine (WLSSVM) Algorithm
... forecasting model based on the weighted least squares support vector machine algo- ...of prediction learning, and improves the robust- ...between neural network model and weighted least ...
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Artificial Neural Network Model for Friction Factor Prediction
... artificial neural network to fluid flow for friction factor prediction have been reported [10] [12] ...a network which is able to predict friction factor with high ...ANN model for ...
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Artificial Neural Networks (ANNs) as a Novel Modeling Technique in Tribology
... artificial neural networks (Gandomi and Roke, ...and neural networks (NNs) specially have been constantly expanding in tribology research and cover such diverse applications as wear of polymer composites ...
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Heart Disease Prediction Using Soft Computing
... of Fuzzy Logic, Neuro-Computing, Evolutionary and Genetic Computing, and Probabilistic ...to model and enable solutions to real world problems, which are not modeled or too difficult to model ...
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Analysis of Advanced Controllers for Temperature Control in a Heat Exchanger
... Initially the process model is separated into two terms we determine a transfer function that has minimum phase characteristics .A system has non-minimum phase uniqueness if its transfer function contain zeros in ...
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Numerical solution of fuzzy differential equations under generalized differentiability by fuzzy neural network
... of fuzzy weights of tree-layer feedforward fuzzy neural networks whose input-output rela- tions were defined by extension ...partially fuzzy three-layer neural net- works, we do not ...
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The Research of Low Earth Orbit Prediction of Satellite Based on Deep Neural Network
... orbit prediction is a basic requirement in satellite ...orbit prediction mainly depends on the dynamic ...dynamical model long-term orbit divergence to be serious. Using deep neural ...
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