|
|
|
| FPGA Implementation of Dynamic Neural Network for Support Vector Machines |
| LIU Han,YIN Song,LIU Ding |
| (School of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, China) |
|
|
|
|
Abstract A new FPGA hardware implementation approach of dynamic neural network for support vector machines was provided and researched.The structure of dynamic neural network for least square support vector machines (LSSVM) was proposed. The architecture design of dynamic neural network for LSSVM based on VHDL language was also performed. The experiments of classification and regression for LSSVM were achieved on XILINX SPANT3E series FPGA. The experimental results show that it is effective to complete the LSSVM classification and regression based on presented method. Compared with the existing methods based on software implementation or analog device implementation, this approach has better convergence rate and better flexibility.
|
|
Received: 09 September 2009
Published: 28 July 2010
|
|
|
|
| No related articles found! |
|
|
|
|
