Title :
Neural network training with the nprKF
Author :
Feldkamp, Lee A. ; Feldkamp, Timothy M. ; Prokhorov, Danil V.
Author_Institution :
Res. Lab., Ford Motor Co., Dearborn, MI, USA
Abstract :
We present the training of feedforward and recurrent networks based on a more accurate treatment of the Kalman filter as applied to nonlinear systems
Keywords :
Gaussian distribution; Kalman filters; feedforward neural nets; learning (artificial intelligence); matrix decomposition; recurrent neural nets; feedforward networks; neural network training; nonlinear systems; nprKF; recurrent networks; Computer networks; Covariance matrix; Feedforward neural networks; Laboratories; Neural networks; Nonlinear systems; Recurrent neural networks; State estimation; Taylor series; Vectors;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.939001
