๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Selection of network and learning parameters for an adaptive neural robotic control scheme

โœ Scribed by N. Sundararajan; Leonard Chin; Yip Kim San


Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
990 KB
Volume
3
Category
Article
ISSN
0957-4158

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Variation and selection: An evolutionary
โœ Aviv Bergman ๐Ÿ“‚ Article ๐Ÿ“… 1988 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 53 KB

The diversity of the living world has been shaped, it is believed, by Darwinian selection acting on random mutations. This paper deal with the same problem that evolution had to solve --how to form categories in a bottom-up manner from information in the environment, without incorporating the assump

The Design of Adaptive Systems: Optimal
โœ Steven A. Frank ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 478 KB

Some aspects of learning and development are based on evolutionary change within the organism. In trial and error learning, variant ideas or behaviors are generated and selective filters (learning rules) choose among the population of variants. Development may, in some cases, proceed by selection wi