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尝试用电位滴定—线性人工神经网络法,测定工业碳酸钠生产过程中碳酸钠和碳酸氢钠含量及总碱量,并把测定的总碱量跟GB/T210.2-2004化学滴定法的结果进行比较,认为两种方法的测定结果吻合,而电位滴定—线性神经网络法不一定使用标准溶液,只要网络训练、测试和预测用的溶液浓度相同即可,滴定完毕后不用计算,只需用训练好的网络对测试集样本或未知样本进行仿真预测,即可得到测定结果。测试时既可以求得总碱量,也可以分别求得样品中碳酸钠和碳酸氢钠的含量,可以快速、准确、方便地用于生产过程控制分析。
Try potentiometric titration - linear artificial neural network method, determination of sodium carbonate and sodium bicarbonate in the production process of industrial sodium carbonate and total alkalinity, and the total alkalinity measured with GB / T210.2-2004 chemical titration The results of the two methods are in agreement. The potentiometric titration-linear neural network method does not necessarily use the standard solution, as long as the network training, testing and prediction of the concentration of the same solution can be used after titration does not have to calculate, simply Using the trained network to simulate the test sample or the unknown sample, the measurement result can be obtained. The test can not only find the total amount of alkali, sodium carbonate and sodium bicarbonate samples can be obtained separately, you can quickly, accurately and easily used for the production process control analysis.