Home /Research /Neural Network Training Using Unscented and Extended Kalman Filter
LEARNING

Neural Network Training Using Unscented and Extended Kalman Filter

Denis Pereira de Lima

Year
2017
Citations
11
Access
Open access

Abstract

The Robotics & Automation Engineering Journal is an Open Access, international peer reviewed online journal which is providing a platform to researchers, scientists, engineers and professionals throughout the world to publish the latest creations,

Keywords

Kalman filterUnscented transformExtended Kalman filterTraining (meteorology)Artificial neural networkComputer scienceFast Kalman filterArtificial intelligenceEnsemble Kalman filterMoving horizon estimation

Related papers

Browse all LEARNING papers