Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
496551 | Applied Soft Computing | 2012 | 12 Pages |
Abstract
⺠This work introduces hardware implementation of artificial neural networks (ANNs) with learning ability on Field Programmable Gate Array (FPGA) for dynamic system identification. ⺠The learning phase is accomplished by using the improved particle swarm optimization (PSO). ⺠The improved PSO is obtained by modifying the velocity update function. Adding an extra term to the velocity update function reduced the possibility of stucking in a local minimum.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Mehmet Ali Cavuslu, Cihan Karakuzu, Fuat Karakaya,