Rare earth ore district underground water ammonia nitrogen concentration prediction method with Gauss artificial swarm optimization

• Main Authors: YUE XUEZHI, ZOU WEIGANG, ZHOU CAIYING, GUO ZHAOLU, LIU SONGHUA, YANG HUOGEN, LIU XIAOSHENG
• Format: Patent
• Language: Chinese; English
• Published: 07.09.2016
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

The invention discloses a rare earth ore district underground water ammonia nitrogen concentration prediction method with Gauss artificial swarm optimization. A support vector machine is used as a rare earth ore district underground water ammonia nitrogen concentration prediction model; a Gauss artificial swarm algorithm is used for optimizing and designing a penalty factor C of the support vector machine, a radial base core parameter g and a parameter Epsilon in a non-sensitive loss function. In the Gauss artificial swarm algorithm, an outstanding individual in each individual neighborhood and an individual average value in a neighborhood thereof are merged into a Gauss mutation strategy to generate new individuals; in addition, a reverse study strategy using the optimum individuals as reference points is executed in a bee searching process. The method has the advantage that the prediction precision of the rare earth ore district underground water ammonia nitrogen concentration can be improved. 本发明公开了种高斯人工蜂群