Kohonen与Madaline用于解析重叠光谱测定钨和钼  

Application of Madaline and Kohonen to Resolution of Overlapping Spectrum and Determination of Tungsten and Molybdenum

作　　者：王进平[1] 李井会[1] 

机构地区：[1]鞍山钢铁学院化学工程学院,辽宁鞍山114002

出　　处：《计算机与应用化学》2002年第3期259-262,共4页Computers and Applied Chemistry

摘　　要：首先应用Kohonen网络对钨、钼的混合吸收光谱进行波长选择，在全光谱中优选最能代表光谱特征的波长，被选波长处吸光度作为Madaline网络的输入，设定输出目标函数为G（λ）＝∑Aiexp[-4(ln20）(λ-t）^2/2]，进行解析重叠光谱，同时测定了钨和钼，该法利用特征光谱代表全谱进行光谱解析，减少了解析光谱中大量的数据。Kohonen Neural Network has been applied to wavelength selection. Those wavelengths that represent feature of spectrum most can be selected in full spectrum. Absorbance of selected wavelength is taken as input of Madaline Neural Network, and G(λ) =ΣAiexp[-4(In2)(λ-t)2/2] is set as target function of output to resolve overlapping spectrum. Tungsten and Molybdenum have been determined simultaneously. This method which diagnostic spectrum representing the full spectrum has been applied to resolution of overlapping spectrum can cut down a great deal of data, and results are satisfied.

关 键 词：解析 重叠光谱 测定 KOHONEN神经网络 Madaline神经网络 化学计量学方法 光度法 钨 钼 

分 类 号：O614.61[理学—无机化学] O657.32[理学—化学]