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。 Recently, artificial neural network has been widely used in communication. In this paper, artificial neural network (ANN) is applied to the problem of equalization and decoding in communication. A new method of equalization and decoding is proposed. Computer simulation proves that it is suitable for both minimum phase channel and non-minimum phase channel, and is also suitable for nonlinear channel.