Artificial Neural Network Model (ANN)
ANN Based Modeling for Coagulant Dosage in Drinking Water Treatment Plant
... a model for approximation of coagulant dosage rate in water treatment plant in Punalur, Kollam has been developed using the Artificial Neural Network ...The ANN is known as an excellent ...
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Prediction of Engineered Cementitious Composite Material Properties Using Artificial Neural Network
... results, Artificial Neural Network (ANN) was ...proposed model were carried out based on 36 experimental results to find the best ...proposed ANN model predicts the ...
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Rainfall-runoff modelling using artificial neural network method
... The modelling work was carried out using five years period of daily data and ten years period of hourly data consisting the rainfall and runoff records from selected catchments in Peninsular of Malaysia. There are four ...
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Combining DFT and QSAR result for predicting the biological activity of the phenylsuccinimide derivatives
... the artificial neural network ...The artificial neural network (ANN) techniques, considering the relevant descriptors obtained from the MLR, showed a correlation ...
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ON THE DEVELOPMENT OF NEURAL NETWORK MODELS USING DATA MINING TOOLS
... famous Artificial Neural Network (ANN) Models: Multi Layered Perceptron (MLP) model and Cascade Correlation network model developed and compared in their ability to judge ...
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A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... an artificial intelligence model for customers’ loyalty assessment in Malaysian Islamic ...assessment model was proposed and developed using an artificial neural network ...
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Development of accident prediction model by using artificial neural network (ANN)
... prediction model and to propose an accident prediction with improvement of accident statistical ...model. Artificial Neural Networks (ANN) model is usually used for prediction ...
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Modeling Gold Price via Artificial Neural Network
... develop ANN and ARIMA models for the gold price, the available data set, which consists of 220 input vectors and their corresponding output vectors from the historical data of gold price, was separated into ...
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Prediction of photovoltaic (PV) output via artificial neural network (ANN) based on real climate condition
... ANN model. There was Multilayer perceptron (MLP), a recursive neural network (RNN), and a gamma memory (GM) trained with the back ...this model obtained from weather monitoring system ...
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Artificial Neural Network Approaches to the Prediction of Eutrophication and Algal Blooms in Aras Dam, Iran
... using ANN was to provide a robust model based on the lowest number of input variables, with a modest data requirement Water temperature is also known as a prominent variable regulating algal biomass and ...
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An Artificial Neural Network (ANN) Model for Predicting Water Absorption of Nanoclay Epoxy Composites
... The ANN modeling approach is very suitable for modelling nonlinear multi- variate interrelationships on noisy systems [19] [20] and has been used in the recent years by many researchers to model and predict ...
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Development of data modification method for optimization of forecasting performance
... hybrid model as the best forecasting model in comparison with its individual ...hybrid model in new ...ARIMA, artificial neural network (ANN), and ARIMA-ANN ...
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Diagnosis and Detection of cancer cells in lungs & myocardial infarction using neural networks
... of neural networks for the diagnosis of diseases like myocardial infarction and detection of cancer cells to lung cancer survival ...survival model for lung cancer patients by Cox Regression Model ...
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Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks
... ANN: Artificial neural network; BPN: Back propagation neural network; BraTS: Brain tumour segmentation; CAD: Computer-aided diagnosis; CNN: Convolutional neural ...
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Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning
... computer model of the retinal birefringence scanning system (including the retina and the cornea as part of a train of optical retarders) and based on the data from a database of 300 eyes ...
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A NOVEL LEADER ELECTION ALGORITHM FOR HONEYCOMB MESH NETWORKS
... various Artificial Neural Network (ANN) models based on machine learning method to detect the deterioration of vital signs which consists of heart rate, blood pressure, body temperature and ...
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Design optimization considering variable thermal mass, insulation, absorptance of solar radiation, and glazing ratio using a prediction model and genetic algorithm
... (MLR) model and an artificial neural network (ANN) model, are developed to predict the building thermal performance and adopted as fitness functions for a multi-objective genetic ...
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OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON
... Kriging model, polynomial function, back propagation artificial neural network(BP-ANN) and radial basis function artificial neural network (RBF-ANN) are used ...
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Soft Computing Stock Market Price Prediction for the Nigerian Stock Exchange
... prediction model. Two soft computing models- Artificial Neural Network (ANN) and Fuzzy Artificial Neural Network (FANN) hybrid model were used to forecast ...
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COMPARISON OF ANN WITH RSM IN PREDICTING SURFACE ROUGHNESS WITH RESPECT TO PROCESS PARAMETERS IN Nd: YAG LASER DRILLING
... and artificial neural network (ANN). The predictive ANN model is found to be capable of better predictions of tensile strength within the range that they had been ...the ...
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