| 基于神经网络烧结终点(BTP)预测系统 |
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| 引用本文： | 程武山,刘长青.基于神经网络烧结终点(BTP)预测系统[J].计算机应用与软件,2003,20(7):39-40,94. |
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| 作者姓名： | 程武山 刘长青 |
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| 作者单位： | 1. 上海大学机械工程和自动化学院,上海,200072
2. 马鞍山钢铁公司第三烧结厂,马鞍山,243005 |
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| 摘 要： | 为解决烧结过程大滞后环节和烧结终点难以测量的困难，采用MBP神经网络对烧结过程进行预估、仿真和测试，建立了有较好泛化能力的系统模型，实现了对烧结终点的提前预报和生产操作指导。
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| 关 键 词： | 烧结终点 预测系统 神经网络 学习算法 烧结机 日本川崎钢铁公司水岛厂 |
ADAPTIVE PREDICTION OF SINTER BURNING THROUGH POINT BASED ON NEURAL NETWORK |
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| Cheng Wushan,Liu Changqing.ADAPTIVE PREDICTION OF SINTER BURNING THROUGH POINT BASED ON NEURAL NETWORK[J].Computer Applications and Software,2003,20(7):39-40,94. |
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| Authors: | Cheng Wushan Liu Changqing |
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| Affiliation: | Cheng Wushan 1 Liu Changqing 2 1 |
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| Abstract: | In order to overcome the long time delay and Sinter Burining Through Point of Sinter Process,a better wide adaptive system model was established by using MBP neual network to predict,simulate and test sinter process.The proposed predictor can be used to predict future value of Burning Through Point(BTP) and to help operator to adjust sinter process. |
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| Keywords: | Burning through point MBP network Learning method Predictive model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
