Unsupervised neural network learning procedures for feature extraction and classification
Tools
Tools
Tools
Becker, S and Plumbley, M (1996) Unsupervised neural network learning procedures for feature extraction and classification APPLIED INTELLIGENCE, 6 (3). pp. 185-203.
Full text not available from this repository.| Item Type: | Article | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Divisions : | Surrey research (other units) | |||||||||
| Authors : |
|
|||||||||
| Date : | 1 July 1996 | |||||||||
| DOI : | 10.1007/BF00126625 | |||||||||
| Uncontrolled Keywords : | Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, unsupervised learning, self-organization, information theory, feature extraction, signal processing, PRINCIPAL-COMPONENT ANALYSIS, ASSOCIATIVE MEMORY, FEATURE-DISCOVERY, ALGORITHM, MODEL | |||||||||
| Related URLs : | ||||||||||
| Depositing User : | Symplectic Elements | |||||||||
| Date Deposited : | 17 May 2017 13:35 | |||||||||
| Last Modified : | 25 Jan 2020 00:09 | |||||||||
| URI: | http://epubs.surrey.ac.uk/id/eprint/839755 |
Actions (login required)
 |
View Item |
Downloads
Downloads per month over past year