neuro-fuzzy-based prediction model
Developing a Neuro Fuzzy Model for Weather Prediction
... network based or pure fuzzy logic based ...a Neuro-fuzzy approach will be proposed to predict weather in Sadat region, western desert, ...weather prediction such as classical and ...
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Spike discharge prediction based on neuro-fuzzy system
... adaptive neuro- fuzzy model including ANFIS, WM, DENFIS, HyFIS, ...for prediction of spike ...the neuro-fuzzy model where first spike latency and frequency-following ...
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Online Full Text
... Adaptive Neuro-Fuzzy Inference System (ANFIS) based soft sensor models, when the prediction accuracy is analyzed, it is assumed that both the data used to train the model and the ...
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A Neuro-fuzzy approach for user behaviour classification and prediction
... the model by achieving encouraging ...[13] based on user behaviour within a large e-commerce site for predicting the buying intention of ...a model consisting of Deep Belief Networks and Stacked ...
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Threshold Neuro Fuzzy Expert System for Diagnosis of Breast Cancer
... system based on Genetic Neuro Fuzzy model arsit the radiologist in the diagnosis of breast cancer 2008 ...Advanced Fuzzy – Neuro approach is implemented using compact genetic ...
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Type-2 Fuzzy Logic Approach To Increase The Accuracy Of Software Development Effort Estimation
... efficient model for accuracy improvement and software effort estimation ...proposed model is based on using type-2 fuzzy ...type-2 fuzzy logic, the gradient descent method and the ...
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A Study & Survey on Rainfall Prediction And Production of Crops Using Data Mining Techniques
... place neuro-fuzzy structures are sequentially updated with new incoming samples on demand and ...of model parameters, but also a dynamic evolution and pruning of model aspects (neurons, ...
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Prediction blood pressure parameter by using neuro-fuzzy model
... and prediction need to be ...a model that can predict the Mean Arterial ...parameter based on Mean Arterial Pressure. Then utilizes the Neuro-Fuzzy model using MATLAB as the ...
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Solar Irradiance Prediction by a New Forecast Engine Composed Wavelet Packet Transform and Adaptive Neuro-Fuzzy Inference System
... term prediction model based on wavelet packet transform and an adaptive neuro-fuzzy inference system with a high forecasting accuracy that depends on previous weekly irradiance ...
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Coastal Water Level Prediction Model Using Adaptive Neuro-fuzzy Inference System
... and Fuzzy Logic, which performs better when the physical phenomena considered are synthesized by both a limited number of variables and IF-THEN logic statements [4], ...ANFIS-based model is chosen ...
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Steady State Stability Analysis of a CSI Fed Synchronous Motor Drive System with Damper Windings Included using ANFIS
... axis model of synchronous motor for analysis of steady state stability, the reference (Korshunov, 2009) has drawn the attention because such work relates with the state variable ...phase model which can be ...
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Dietary Fibers Effect from Mango Peels and Date Seeds on Rheological properties of Arabic Bread Quality: A Novel approach on applying Fuzzy Modeling in Studying Rolling/Folding and Tearing values
... approach based on fuzzy logic and genetic algorithms to control a crossflow microfiltration pilot ...using fuzzy and neuro-fuzzy techniques based on available expertise and ...
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Adaptive Neuro-Fuzzy Inference System Based Grading of Basmati Rice Grains Using Image Processing Technique
... In the food industry, quality of grains is an important issue regarding product standard as they are frequently subjected to adulteration. The adulteration of the highly priced basmati rice with cheaper varieties e.g. ...
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NEURO FUZZY MODEL FOR FACE RECOGNITION WITH CURVELET BASED FEATURE IMAGE
... In the conventional MLP, the number of nodes in the output layer corresponds to the number of classes in the task to be performed. Back Propagation scheme is applied during the learning process in order to define the ...
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Comparison between Neural Network and Adaptive Neuro Fuzzy Inference System for Forecasting Chaotic Traffic Volumes
... car-following model, known as the GHR (Ga- zis-Herman-Rothery) model, whose discontinuous beha- vior and nonlinearity suggested chaotic solutions for a certain range of input ...
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“Genetically Tuned Optimization Of Plastic Extrusion Process: A Litreture Review”
... The algorithm begins with a set of solutions (chromosomes) that are called the population. Solutions from one population are reproduced to create a new generation in the population. Mutations occur randomly in each ...
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Calculating the Soil Strength for standing Support in Underground Mine Using Artificial Intelligence Approach
... a neuro-fuzzy technique along with the back propagation technique has been explored for prediction of setting load in standing support in underground ...
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Lesion Segmentation in Dermoscopic Image Using Decision based Neuro Fuzzy Model
... Artificial Neural Networks mimic the functioning of interconnected neurons in the central nervous system in animals that are capable of pattern recognition and machine learning. Neural network require prior knowledge for ...
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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... numerical and linguistic knowledges. The hybrid neuro-fuzzy architectures, are reflected a strong structure when the prediction of the input-output is obtained. Meanwhile, they don’t require ...
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Adoptive Neuro Fuzzy Inference System for Traffic Noise Prediction
... level prediction but limited uses of these models have been so far reported ...noise prediction models are developed for uninterrupted and homogeneous traffic flow; results underestimate or overestimate the ...
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