该系统能快速测定型砂的有效粘土含量和含水量，实现型砂质量的直接控制。
The system can test active clay content and moisture of green sand fast and control its composition directly.
本文基于“双电源二次激励法”的基本原理，并利用人工神经网络技术求得型砂含水量及有效粘土含量。
Based on "Double Powers Exciting Method" and ANN technique, the moisture and the available clay content of green sand can be calculated quickly by the system.
实验结果表明，双电源二次激励法与人工神经网络相结合，可以实现型砂有效粘土含量和含水量的快速在线预测。
It is proved by experiments that DPSEM together with ANNsmakes the fast on line prediction of active clay content and moisture of green sand feasible.
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