| Hopfield神经网络在原料混匀中的应用 |
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| 引用本文： | 李智.Hopfield神经网络在原料混匀中的应用[J].金属矿山,2003(9):35-36,39. |
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| 作者姓名： | 李智 |
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| 作者单位： | 武汉工业学院 |
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| 摘 要： | 建立了原料混匀的数学模型，运用Hopfield神经网络优化算法对武钢工业港的原料混匀进行了优化仿真计算，计算结果表明完全符合生产工艺要求，为原料混匀提供了定量依据。Hopfield神经网络优化计算方法也为以后类似问题的优化计算提供了新的途径和方法。
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| 关 键 词： | Hopfield神经网络 原料混匀 数学模型 炼铁工艺 仿真 |
Application of Hopfield Neural Network in Blending of Raw Ores |
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| Li Zhi.Application of Hopfield Neural Network in Blending of Raw Ores[J].Metal Mine,2003(9):35-36,39. |
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| Authors: | Li Zhi |
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| Affiliation: | Wuhan University of Technology |
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| Abstract: | Mathematical model for raw ore blending was established and Hopfield neural network optimization algorithm was used to make optimization emulation of the blending of raw ores at Wu Steel's industrial port. The results fully met the requirement of production technology, providing a quantitive basis for raw ore blending. Hopfield neural network optimization calculation also has provided a new way of optimization calculation for similar cases. |
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| Keywords: | Hopfield neural network Blending of raw ore Emulation Optimization |
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