遗传算法神经网络-光度法同时测定木耳中的铜和铁  

Determination on Cu and Fe at the Same Time with Genetic Algorithm Neural Network-Photometry

作　　者：王娟[1] 王淑菊[1] 孙伶[2] 

机构地区：[1]沈阳化工学院应用化学学院,辽宁沈阳110142 [2]沈阳化工学院人事处,辽宁沈阳110142

出　　处：《安徽农业科学》2010年第7期3313-3314,共2页Journal of Anhui Agricultural Sciences

摘　　要：利用遗传算法(GA)优化神经网络(BP-ANN)的结构参数和连接权重,得到优化的GA-BP-ANN网络,用此网络解析木耳中铁和铜与CAS配合物的重叠光谱,建立了不经分离同时测定木耳中铜和铁的新方法。The structure parameters and connection weight of neural network（BP-ANN） was optimized with gen etic algorithm（GA）,and the optimized GA-BP-ANN network was obtained.The network could be used to analyze the overlapped spectra of the complex such as Cu-CAS and Fe-CAS in Auricularia auricular.On the basis of that the determination method on Cu and Fe in A.auricular at the same time and without separation was established.

关 键 词：木耳 遗传算法 神经网络 铜 铁 

分 类 号：S646.6[农业科学—蔬菜学]