ANN model
Streamflow Decomposition Based Integrated ANN Model
... theoretic model that has gained momentum in the last few decades as it has been successfully applied to a wide range of problems in hy- drology ...to model decomposed flow hydrograph using ANN and ...
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ANN MODEL FOR MONTHLY RAINFALL – RUNOFF SIMULATIONS FOR HARNAV WATERSHED, INDIA
... An ANN is a structure of elements formed by nodes or neurons, similar to the structure of the human brain, mathematically interconnected, representing a ...of ANN in hydrology has been related to streamflow ...
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ANN model for detection and identification of sleep stages
... train ANN model with all four stages of ...the model proved to be potential and compatible in identifying the particular state of brain whether stage of sleep or awake, and the stage of ...
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Wear Studies on Incoloy-800 and Prediction of Wear by ANN Model
... the ANN predicted wear height loss values of the Incoloy-800 with the testing data for the best network ...trained ANN model, predicted results were found to be in close agreement with the ...
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GA-Driven ANN Model for Worker Assignment into Virtual Manufacturing Cells
... approach ANN-GA integrated model for workers assignments into virtual cells was presented in this ...the ANN framework proposed in the recent work as indicated ...independent ANN framework ...
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ANN Model Identification: Parallel Big Bang Big Crunch Algorithm
... the ANN System training and design are available in ...an ANN design automation tool which was a generalization of (Shakti et ...to ANN model identification, literature is rich for fuzzy ...
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Determination of the height of destressed zone above the mined panel: An ANN model
... using ANN and CRA models, 7 parameters comprising of overburden depth, extracted coal seam thickness, and the unit weight, elastic modulus, Poisson ratio, unconfined compressive strength, bulking factor of rock ...
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Prediction of photovoltaic (PV) output via artificial neural network (ANN) based on real climate condition
... proposed ANN model experimental output compare with proposed mathematical ...the ANN model that capable of predicting power output, obtain power forecast model using ambient factor and ...
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Predicting Bacterial Levels in Recreational Beach Waters along U.S. Gulf Coast
... Bayesian model, presented in this paper, is capable to explain ...Bayesian model. The Bayesian model is innovative in terms of (1) the integration of a deterministic ANN model and a ...
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A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... intelligence model for customers’ loyalty assessment in Malaysian Islamic ...assessment model was proposed and developed using an artificial neural network (ANN) based on cross validation for ...
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Pattern Recognition of Process Mean Shift using Combined ANN Recognizer
... of ANN architecture for the training algorithms is varied between 10 and ...single ANN model was trained as MLP using the Levenberg-Marquardt and Quasi-Newton algorithm ...
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Artificial Neural Network Modeling for Adsorption of Dyes from Aqueous Solution using Rice Husk Carbon
... the ANN model developed has excellent accuracy and the model can be effectively used for prediction of % adsorption and equilibrium concentration of dyes on rice husk carbon ...the ANN ...
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Exergetic Performance Prediction of a Roughened Solar Air Heater Using Artificial Neural Network
... the ANN technique has been mostly used for thermal performance analysis of solar air heaters, but exergetic performance analysis of such systems using an ANN model has not been done so ...an ...
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Modeling moisture fluxes using artificial neural networks: can information extraction overcome data loss?
... conduct model-based investigations of forcing-response relationships at the land ...an ANN framework to fill gaps in energy fluxes, with a particular focus on the probability distributions of flux data and ...
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Measuring Credit Risk Of New Customer Using Artificial Neural Network Model: A Case Of Multi Finance In Indonesia
... the model Artificial Neural Network (ANN) in predicting customer ...the ANN model is 81.30% with Root Means square error 0.4330. ANN prediction method has the ability to solve the ...
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Predictability of Financial Crisis via Pair Coupling of Commodity Market and Stock Market
... CHMM-ANN model. The proposed model firstly learns pair coupling by CHMM, and the couplings are then fed into ANN to predict financial ...
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Comparison of three updating schemes using artificial neural network in flow forecasting
... the ANN models used in hydrology are regarded as black-box models that cannot provide any physically realistic structure and parameters to represent the hydrological processes in catchments, even though they are ...
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Artificial Neural Network Models based Cardiac Arrhythmia Disease Diagnosis from ECG Signal Data
... class. ANN models are trained by static backpropagation algorithm with momentum learning rule to diagnose cardiac ...different ANN models Multilayer perceptron ANN model have given very ...
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ANN Based Modeling for Coagulant Dosage in Drinking Water Treatment Plant
... accepted model for the coagulant dosage of water treatment ...mathematical model for the alum ...that ANN based modeling of alum dosage is best among the other methods so the ANN based ...
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ANN and Rule Based Model for English to Sanskrit Machine Translation
... prototype model of English to Sanskrit machine translation (EST) system using ANN model and rule based ...approach. ANN model gives matching of equivalent Sanskrit word of English word ...
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