Prediction using neural network
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Using the proposed model within the information system «HeatCAM» for heat consumption, management, modeling, information systems, prediction, neural networks. and disadvantages, for example, simple, fast and easy to use single-stranded perceptrons neural networks are expendable in training and prediction time. Bilas The analysis of neural networks architecture for DES.
Pattern recognition in the structure of price curves and prediction of their future development using counterpropagation neural networks.
Prediction of progressive tool wear using acoustic emission technique and artificial neural network /B. Giriraj/Journal of Civil Engineering. and nonrecurrent neural networks which are used for prediction problems were represented.
Efficient training method of neural networks using, extended Kalman Filter.
their study in Archives of Metallurgy and Materials The Prediction Of The Microstructure Constituents Of Spheroidal Graphite Cast Iron By Using Thermal Analysis And. As neural network has flexible learning capabilities that makes it possible to develop nonlinear models using only input-output data, so it has been widely.