The costs prediction of AOD furnace based on improved RBF neural network
In order to predict the cost, a model of cost prediction was set up based on adaptive hierarchical genetic algorithm and RBF neural network. Hierarchical genetic algorithm could optimize the topology and the parameters simultaneously. Compared with simple genetic algorithm, it has more efficiency in not only accelerating and stabilizing the parameters training but also determining the structure of the network. Adaptive crossover and mutation probability could accelerate the speed and avoid prematurity. The model was tested by five samples. The results showed that the prediction model has high prediction accuracy, which indicated that it was applicable to predict the cost by the model.
RBF neural network adaptive hierarchical genetic algorithm cost prediction AOD furnace
Tang Na Zhang De-Jiang Li Hui
Changchun Institute of Optics, Fine Mechanics and Physics Graduate University of Chinese Academy of Institute of Electrical and Electronic Engineering Changchun University of Technology Changchun 1300
国际会议
长春
英文
523-526
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）