A neural network FPGA implementation

被引：11

作者：

Coric, S ^{[1
]}

Latinovic, I ^{[1
]}

Pavasovic, A ^{[1
]}

机构：

[1] Northeastern Univ, Boston, MA 02115 USA

来源：

NEUREL 2000: PROCEEDINGS OF THE 5TH SEMINAR ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING | 2000年

关键词：

neuron; neural network; FPGA; activation;

D O I：

10.1109/NEUREL.2000.902397

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A design of a general-purpose neuron for topologies using back-propagation algorithm is described. The sigmoid activation function is also implemented. The neuron is then used in the design and implementation of a neural network, using Xilinx FPGA, with speed/area tradeoffs.

引用

页码：117 / 120

页数：4