๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Moving targets pattern recognition based on the wavelet neural network

โœ Scribed by Guangying Ge; Lili Chen; Jianjian Xu

Book ID
110626452
Publisher
SP Science Press
Year
2005
Tongue
English
Weight
477 KB
Volume
22
Category
Article
ISSN
0217-9822

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Kohonen neural network as a pattern reco
Kohonen neural network as a pattern recognition method based on the weight interpretation
โœ Xin-Hua Song; Philip K. Hopke ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 890 KB

The Kohonen self-organizing neural network is a useful tool for pattern recognition. Based on the Kohonen map obtained from the training set, predictions can be made for the unknown objects. The problem is how to determine the membership of new objects hitting empty neurons which were not activated

Target Recognition Based on Directional
Target Recognition Based on Directional Filter Banks and Higher-Order Neural Networks
โœ Sang-il Park; Mark J.T. Smith; Russell M. Mersereau ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 275 KB

A new approach for the classification of SAR targets is presented here, which combines maximally decimated directional filter banks with higher-order neural networks (HONNs). HONNs are neural networks that can achieve performance similar to that of standard multilayered neural networks, but without