Lyapunov theory-based multilayered neural network
This brief presents a Lyapunov theory-based weight adaptation scheme for a multilayered neural network (MLNN) mainly used to classify a multiple-input-multiple-output (MIMO) problem. Initially, the MLNN system is linearized using Taylor series expansion. Then, the weight adaptation scheme is designe...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Published: |
IEEE Circuits and Systems Society
2009
|
| Online Access: | http://hdl.handle.net/20.500.11937/26780 |