采用神经网络法的智能烟尘浓度测量系统具有精度高，适用范围广的特点。
This intelligent measurement system of the concentration of flue-dust emission possesses high precision and wide applied range .
本文介绍了用神经网络方法测量烟尘浓度的原理，分析了其性能。
This paper briefly gives the principle based on the neural network method for concentration measurement of flue-dust emission and analyses its performance.
在烟尘测试中，测量仪器不同影响着烟尘测试的结果。就烟尘采样仪器本身各环节的误差贡献率进行探讨。
Using different measuring instruments will impact the measuring results in dust detection process. The errors from the different parts of measuring instruments and contribution rates are discussed.
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