节点文献
可用于分组码译码的两个前向神经网络
TWO FEEDFORWARD NEURAL NETWORKS USED FOR DECODING BLOCK CODE
【摘要】 本文构造了两个分别用于分组码的最小软距离译码和最小加权距离译码的前向神经网络,并证明所构造的网络在用于分组码的最小软距离译码和最小加权距离译码时的纠错能力.
【Abstract】 We construct two feedforward neural networks for soft-decision decoding and minimum weighted distance decoding to block error-correcting code. We proved the error-correcting ability of constructed networks in soft-decision decoding and minimum weighted distance decoding to block error-correcting code.
【关键词】 前向神经网络;
纠错编码;
最小软距离译码;
最小加权距离译码;
【Key words】 Feedforward Neural Networks; Error-correcting Code; Soft-decision Coding; Minimum Weighted Distance Decoding.;
【Key words】 Feedforward Neural Networks; Error-correcting Code; Soft-decision Coding; Minimum Weighted Distance Decoding.;
- 【文献出处】 模式识别与人工智能 ,Pattern Recognition and Artificial Intelligence , 编辑部邮箱 ,1995年S1期
- 【分类号】TP183
- 【被引频次】1
- 【下载频次】45