遗传算法-神经网络-流动注射光度法同时测定镍和铁

Simultaneous Determination of Fe and Ni by GA-ANN-FI-spectrum

在遗传算法的应用研究中,总共做了两方面的工作。其一利用遗传算法对神经网络结构参数进行优化;其二对神经网络的初始权重进行优化。得到优化的遗传神经网络GA-BP-ANN。将此网络应用于解析流动注射-光度分析测得的铁(镍)-(5-Br-PADAP)络合物的重叠光谱,建立了不经分离同时测定铁和镍的新化学计量学方法。

In the search of GA application, two works have been done, the global optimization capability of GAs was used to optimize the structure parameters and connection weights of the artificial network respectively, and the optimized GAs - BP - ANN has been applied to resolve the overlapped spectrum of nickel （iron） - （5 - Br - PADAP）from FIA. A new Chemometric method has been developed for simuhaneous determination of nickle and iron.