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| 摘要: |
| 为了自动寻找脱硫过程的规律和知识,对脱硫过程进行决策支持,采用RBF神经网络作为建模工具,针对建模过程中出现的RBF中心和宽度难以确定的难点,在分析蚂蚁算法机理的基础上,提出了使用智能蚂蚁算法对RBF神经网络模型的中心和宽度进行自适应选择,从而达到模型训练精度和范化能力的... |
| 关键词: 铁水预脱硫 径向基函数神经网络 信息素 智能蚂蚁算法 |
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| Static Model Optimization for Desulphurization Based on Intelligent Ant Algorithm |
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PENG Yan-ni,WANG Ya-di
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| Abstract: |
| In order to search for the law and knowledge of desulphurization process to make decision support for the process,Radial Based Function(RBF)neural network is used as modeling tool.According to the difficulty in determining RBF center and width… |
| Key words: perdesulphurization of hot metal RBF neural network pheromone intelligent ant algorithm |
