FPGA Based Implementation of a Discrete Hopfield Neural Network
Implementation of neural network is one of the most important aspects of the study on neural network, and its also a key factor determining the real application of neural network. The DHNN neural network with output-state of 0,1 is analyzed about its basis characteristic and learning regulation. Some useful conclusions are drawn in this paper. Finally, a hardware implementation is completed in FPGAs. The simulation result shows that the implementation method of neural network presented in this paper is effective and feasible.
FPGA DHNN Hardware Implementation
Lijun Liu Minfeng Zhou
Wuhan University of Science and Technology, Wuhan, China ATMEL Semiconductor (Shanghai) Co., Ltd, China
国际会议
2006现代科技国际研讨会(The International Workshop on Modern Science and Technology in 2006)
北京
英文
547-551
2006-04-01（万方平台首次上网日期，不代表论文的发表时间）