本文为通信专业硕士研究生的毕业论文。主要研究神经网络的FPGA实现及其在网络拥塞控制中的应用。 -In this paper, for the communications professional Master s thesis. Major study of the FPGA realization of neural networks and its application in network congestion control applications.

本论文以 DSP 和计算机为硬件平台，以小波分析和人工神经网络为理论基础，设计了基于 TMS320F2812 的数据采集模块，对故障识别方法进行了深入研究，实现了电力电缆典型故障的识别。-Based on the hardware platform of DSP system & computer and the theory of wavelet analysis & artificial neural network, this paper designs the data acquisit