| 基于综合神经网络的优化配矿系统模拟模型及应用 |
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| 引用本文： | 李云涛,范晓慧,刘代飞.基于综合神经网络的优化配矿系统模拟模型及应用[J].烧结球团,2003,28(6):7-11. |
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| 作者姓名： | 李云涛 范晓慧 刘代飞 |
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| 作者单位： | 中南大学钢铁系烧结球团研究所 |
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| 摘 要： | 针对烧结配矿的复杂性，建立了综合神经网络模拟模型，用以仿真烧结配矿与烧结矿产质量指标问的关系，并利用生产数据对模型进行了检验。综合神经网络的应用能大大提高预报的命中率。同时，对在其他领域的应用，也有很好的参考价值。
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| 关 键 词： | 综合神经网络 优化 配矿 模拟模型 烧结 仿真 烧结矿 |
A SIMULANT MODEL BASED ON INTEGRATIVE NEURAL NETWORK FOR IRON ORES PROPORTIONING OPTIMUM AND ITS APPLICATION |
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| Li Yuntao et al..A SIMULANT MODEL BASED ON INTEGRATIVE NEURAL NETWORK FOR IRON ORES PROPORTIONING OPTIMUM AND ITS APPLICATION[J].Sintering and Pelletizing,2003,28(6):7-11. |
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| Authors: | Li Yuntao |
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| Affiliation: | Li Yuntao et al. |
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| Abstract: | In this paper,a simulant model based on integrative neural network to the complexity of sintering raw materials proportioning was proposed.It can simulate the relation of the iron ore proportion and index of the sinter output and sinter quality.The simulant model was validated with the yield data.With the application of integrative neural network,the model veracity is improved. |
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| Keywords: | integrative neural network iron ore proportioning optimum simulant model |
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