摘要
针对测试系统中参数较多,信号失真、漂移等非线性问题,设计一种基于VisualBasic的高精度数据采集系统.采用BP神经网络模型,对多媒体定时器和高精度性能定时器采集的数据进行训练和预测分析.仿真结果表明:多媒体定时器的预测输出误差在2%左右,而高精度性能定时器在0.3%左右,且测试信号精度高、可靠性高、性能稳定.
Abstract.. Because of signal distortion, drift and nonlinear problems in the test system of many parameters. A high pre- cision data acquisition system based on VisualBasic is introduced in this paper. BP neural network model is used to to make data training and forecast analysis collected by multimedia timer and high precision performance timer. The simula- tion results show that the predicted output error of multimedia timer is around 2 % and high precision performance timer is around 0.3%. And the test signal is of high accuracy, high reliability, stable performance.
出处
《华侨大学学报（自然科学版）》
CAS
北大核心
2013年第6期610-612,共3页
Journal of Huaqiao University(Natural Science)
基金
福建省自然科学基金资助项目(2011J01350)
福建省厦门市集美区科技计划项目(20117C02)
