目的:对紫外吸收光谱重叠的新洁尔灭进行多组分不经分离的含量测定。方法:应用BP方法即人工神经网络误差反向传播方法对其进行含量测定。结果:网络隐蔽层的节点数为5、以9个节点输入时,苯扎溴铵和亚硝酸钠的平均回收率分别为102%和101%,RSD分别为1.0%和2.9%。结论:该方法测定结 OBJECTIVE: To determine the content of benzalkonium bromide in UV-vis spectra without separation by multiple components. Methods: BP method BP neural network error backpropagation method was used to determine its content. Results: The mean number of nodes in the hidden layer was 5, and the mean recoveries of benzalkonium bromide and sodium nitrite were 102% and 101%, respectively, with RSDs of 1.0% and 2.9%, respectively, at 9 nodes. Conclusion: The method of determining the knot