A novel approach to the integration of GPS and INS using recurrent neural networks with evolutionary optimization techniques

Author:

Malleswaran M.,Vaidehi V.,Sivasankari N.

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference19 articles.

1. A real coded genetic algorithm for training recurrent neural networks;Blanco;Transactions on Neural Networks,2001

2. Introduction to Random Signals and Applied Kalman Filtering;Brown,1992

3. Feed-forward neural networks training: a comparison between genetic algorithm and back-propagation learning algorithm;Che;International Journal of Innovative Computing, Information and Control,2011

4. Kai-Wei Chiang, INS/GPS integration using neural networks for land vehicular navigation applications, A dissertation submitted to the faculty of graduate studies in partial fulfillment of the requirements for the degree of doctor of philosophy in Department of Geomatics Engineering, Calgary, Alberta, Canada, November 2004.

5. An intelligent navigator for seamless INS/GPS integrated land vehicle navigation applications;Chiang;Applied Soft Computing,2008

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