Title :
Comparison of the Bayesian and neural network algorithms in nonlinear navigation estimation problems
Author :
Stepanov, O.A. ; Vasiliev, V.A.
Author_Institution :
Concern CSRI Elektropribor, Russia
Abstract :
Similarities and differences between the algorithms based on the Bayesian approach, commonly used for solution of nonlinear navigation estimation problems, and the algorithms based on neural networks (NN) are analyzed. The possibilities of using NN for solution of nonlinear navigation problems are discussed.
Keywords :
belief networks; estimation theory; filtering theory; navigation; neural nets; Bayesian approach; neural network algorithms; nonlinear navigation estimation problems; Artificial neural networks; Barium; Bayesian methods; Measurement uncertainty;
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6916-1
DOI :
10.1109/IJCNN.2010.5596834
