IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4 Sensor Errors Prediction Using Neural Networks Como, Italy July 24-July 27 ISBN: 0-7695-0619-4
The features of neural networks using for increasing of an accuracy of physical quantity measurement are considered by prediction of sensor drift. The technique of data volume increasing for predicting neural network training is offered at the expense of various data types replacement for neural network training and at the expense of the separate approximating neural network using.
Citation:
A. Sachenko, V. Kochan, V. Turchenkol, V. Golovko, J. Savitsky, A. Dunets, T. Laopoulos, "Sensor Errors Prediction Using Neural Networks," ijcnn, vol. 4, pp.4441, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||