๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

An incremental approach to genetic-algorithms-based classification

โœ Scribed by Sheng-Uei Guan; Fangming Zhu


Book ID
117938356
Publisher
IEEE
Year
2005
Tongue
English
Weight
736 KB
Volume
35
Category
Article
ISSN
1083-4419

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


A genetic algorithm rule-based approach
โœ Ming-Hseng Tseng; Sheng-Jhe Chen; Gwo-Haur Hwang; Ming-Yu Shen ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 762 KB ๐Ÿ‘ 1 views

Classification of land-cover information using remotely-sensed imagery is a challenging topic due to the complexity of landscapes and the spatial and spectral resolution of the images being used. Early studies of land-cover classification used statistical methods such as the maximum likelihood class

Incremental learning of collaborative cl
โœ Sheng-Uei Guan; Fangming Zhu ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 190 KB

A number of soft computing approaches such as neural networks, evolutionary algorithms, and fuzzy logic have been widely used for classifier agents to adaptively evolve solutions on classification problems. However, most work in the literature focuses on the learning ability of the individual classi