Bio-oxidation pretreatment process parameters optimization algorithm based on outlier mining

摘要

Some high altitude and Alpine areas use the biological oxidation pretreatment technology to treat refractory gold, but there is no reliable and effective reference to set the technology parameters, To solve the problem, this article use the production process data of recently two years to build the source data base, and applying the local weighted k-density algorithm and the local attribute entropy to get the outlier mining from the data base to get the technology parameters. After a large of experiments, the best technology parameters of summer production have been found.The parameters had used in gold ore with good result, this proved that the algorithm is effective and feasible.