Supervised learning with complex-valued neural networks
Recent advancements in the field of telecommunications, medical imaging and signal processing deal with signals that are inherently time varying, nonlinear and complex-valued. The time varying, nonlinear characteristics of these signals can be effectively analyzed using artificial neural networks. F...
| Main Author: | Suresh, Sundaram. |
|---|---|
| Other Authors: | Sundararajan, Narasimhan., Savitha, Ramasamy., SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
©2013.
Berlin ; New York : [2013] |
| Physical Description: |
1 online resource. |
| Series: |
Studies in computational intelligence ;
421. |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |