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RISA qualitative comparison of Artificial Neural Networks and Support Vector Machines in ECG arrhythmias classification
In this paper, a novel use of Kernel-Adatron learning algorithm to aid SVM (support vector machine) for ECG arrhythmias classification is proposed. The proposed pattern classifier is compared with MLP (multi-layered ...
Dynamic modeling of cross flow ultrafilrtation of milk using neural networks
Artificial neural networks (ANNs) have been used to dynamically model cross flow ultrafiltration of milk. It aims to predict permeate flux, total hydraulic resistance and the milk components rejection (protein, fat, lactose, ash and total solids...
Predicting Total Acceptance of Ice Cream Using Artificial Neural Network
Artificial neural network (ANN) models were used to predict the total acceptance of ice cream. The experimental sensory attributes (appearance, flavor, body and texture, coldness, firmness, viscosity, smoothness and liquefying rate) were used...
Comparison of ANN and ARIMA techniques for forecasting Kardeh river flow
durations in ANN model is more than 1 (> 1), that show index is higher for ANN model than ARIMA model. Also quantity obtained from division of RMSE, MSE and MAD indexes for all time duration is lower for ANN model than ARIMA model, however in this study...