Sensor Errors Prediction Using Neural Networks

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.

• Type: Conference
• Year: 2000
• Where: IJCNN
• Authors: Anatoly Sachenko, Volodymyr Kochan, Volodymyr Turchenko, Vladimir Golovko, Yury Savitsky, A. Dunets, T. Laopoulos
• Keywords: Approximating Neural Network, IJCNN 2000, Neural Network, Neural Network Training, Neural Networks