Published 1998
| Version v1
Publication
Design of an Analog CMOS Self-Learning Multilayer Perceptron Chip
Contributors
Description
In this paper we present the analog CMOS design of a multi-layer-perceptron network with on-chip by-pattern back-propagation learning. The learning algorithm is based on a local learning rate adaptation technique which makes the on-chip implementation more efficient in terms of convergence speed. Circuit simulation results validate the network behavior
Additional details
Identifiers
- URL
- http://hdl.handle.net/11567/201486
- URN
- urn:oai:iris.unige.it:11567/201486
Origin repository
- Origin repository
- UNIGE