Abstract
This paper conducted analytical chemometrics research based on artificial intelligence algorithms. It combined the Ant Colony Optimization (ACO) with the fuzzy clustering to perform clustering twice to determine the hidden layer nodes of the radial basis function (RBF) network. By introducing the concept of fuzzy mathematics, it performed flexible partitioning of ant colony clustering algorithms. The ant colony optimization- fuzzy c-means-radial basis function network (ACO-FCM-RBF) was used to obtain satisfactory results for the simultaneous determination of bismuth and zirconium. In this paper, a new color system of DBS- chlorophosphonazo-zirconium was established, which lays the foundation for the simultaneous determination of bismuth and zirconium. This paper also established a new method of analytical chemometrics, compared with the test results of RBF network method, the ACO-FCM-RBF had better calculation result accuracy.
