基于模糊神经网络的数字媒体数据自动化采集系统设计

Design of Digital Media Data Automatic Collection System Based on Fuzzy Neural Network

为了改善数字媒体数据传输效果,确保系统安全、稳定运行,设计基于模糊神经网络的数字媒体数据自动化采集系统。构建数字媒体数据自动化采集系统框架,数据采集层利用数据采集卡获取不同渠道的数字媒体数据,由数据处理层的数据融合模块调用改进模糊神经网络算法完成数字媒体数据的融合处理后,通过数据传输层的分层自组织无线网络将其传输至存储应用层,实现数字媒体数据的存储、查询、显示与输出。实验结果表明:该系统采集的音频信号波形规律、曲线平滑、功率均值波动误差在(0,0.14),满足允许误差范围;数据传输效果优于采用DSR协议的单点传输方式,当数字媒体数据源为3时,平均峰值信噪比指标最高;具有数字媒体数据查询功能。

This paper designs an automated digital media data acquisition system based on fuzzy neural networks to improve the transmission effect of digital media data and ensure the safe and stable operation of the system.This paper constructs a framework for automated digital media data acquisition system.The data acquisition layer utilizes data acquisition cards to obtain digital media data from different channels.The data fusion module of the data processing layer calls the improved fuzzy neural network algorithm to complete the fusion processing of digital media data.It is transmitted to the storage application layer through the layered self-organizing wireless network of the data transmission layer,achieving the storage,query,display,and output of digital media data.The experimental results show that the waveform regularity,curve smoothness,and power mean fluctuation error of the audio signal collected by the system are within the(0,0.14)range,meeting the allowable error range.The data transmission effect is better than the single point transmission method using DSR protocol.When the digital media data source is 3,the average peak signal-to-noise ratio index is the highest.It equips with digital media data query function.