摘要
传感器非线性校正是测量系统设计的重要内容。以温度传感器AD590为研究目标,采用神经网络软件校正算法,重点研究基于SOPC技术的算法实现问题,并对影响算法性能的多个参数进行测试,测试结果证实了算法实现的可行性。
Nonlinearity correction of sensors is important for measurement system design, Temperature sensor ADS90 is selected for study. Neuron network software correction algorithm is adopted, the implement of algorithm based on SOPC technology is researched emphatically and the influence of parameters on the algorithm is tested. The test results prove its feasibility.
出处
《传感器与微系统》
CSCD
北大核心
2008年第1期22-24,共3页
Transducer and Microsystem Technologies
关键词
非线性
神经网络
片上系统
nonlinear
neuron network
system on a programmble chip（SOPC）
