Application of RBF Neural Network Model in Vanadium Extraction

This paper surveys a kind of Radial Basis Function (RBF) algorithm to establish the vanadium extraction prediction model. To optimize the location of RBF centers, we introduced an improved nearest-neighbor clustering algorithm based on density ranking method. This algorithm ranks the patterns by their density, and then the nearest-neighbor clustering algorithm is applied to the patterns. This improved algorithm starts the clustering process from the densest pattern space, and therefore it effectively eliminates the bad impact of the noisy data. The improved algorithm proved effective in the vanadium extraction intelligent decision system modeling.