Simultaneous Spectrophotometric Determination of Titanium,Molybdenum and Tungsten in Low Alloy Steel by Applying the Alogrithm of Genetic Artificial Neural Network

On the building of multicomponent adaptive functions,optimal matching of network structure and parameters as well as the input data was achieved by applying the genetic algorithm to optimized the artificial neural network structure with adaptive probability searching ability,on the base of which the algorithm of genetic artificial neural network (GA-ANN) for simultaneous spectrophotometric determination of 3 components (Ti,W and Mo) was established.The color reagent used in the determination was dibromohydroxyphenylfluorone (DBHPF),and values of molar absorptivity of complexes of DBHPF with Ti(Ⅳ),Mo(Ⅵ) and W(Ⅵ) found were 1.03×105,1.31××105,1.21×105L·mol-1·cm-1 respectively.The proposed method was applied to the determination of Ti,Mo and W in a CRM of low alloy steel giving results in consistency with the certified values.