人工神经网络在通信中的一种应用

An Application of Artificial Neural Networks to Communication

新近，人工神经网络在通信中已获得了广泛应用，本文研究人工神经网络应用于通信中均衡与译码问题，提出了能同时完成均衡与译码的新方法。计算机仿真证明，它既适合于最小相位信道，也适合于非最小相位信道，还适合于非线性信道。

In recent years, artificial neural networks have been widely applied to communication. This paper makes a careful study of the problem of equalization and decoding in the use of artifical neural networks in communication, and present a solution to the problem. The results of computer simulation show that it is suitable for the non-minimal phase channel, the minimal phase channel and non-linear channel.