๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

RBF networks training using a dual extended Kalman filter

โœ Scribed by Iulian B. Ciocoiu

Book ID
114296061
Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
361 KB
Volume
48
Category
Article
ISSN
0925-2312

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Extended Kalman Filter Training of Neura
Extended Kalman Filter Training of Neural Networks on a SIMD Parallel Machine
โœ Shuhui Li; Donald C. Wunsch; Edgar O'Hair; Michael G. Giesselmann ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 260 KB

The extended Kalman filter (EKF) algorithm has been shown to be advantageous for neural network trainings. However, unlike the backpropagation (BP), many matrix operations are needed for the EKF algorithm and therefore greatly increase the computational complexity. This paper presents a method to do

Remote sensing image segmentation using
Remote sensing image segmentation using a Kalman filter-trained neural network
โœ K. S. Chen; D. H. Tsay; W. P. Huang; Y. C. Tzeng ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 774 KB

This article describes the application of a neural network to the segmentation of remote sensing images of multispectral SPOT and fully polarimetric SAR data. The structure of the network is a modified multilayer perceptron and is trained by the Kalman filter theory. The internal activity of the net