| 一种基于神经元的灰色动态预测模型在工程实践中的应用 |
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| 引用本文： | 马纲,芮延年.一种基于神经元的灰色动态预测模型在工程实践中的应用[J].贵州大学学报(自然科学版),2005,22(4):408-411. |
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| 作者姓名： | 马纲 芮延年 |
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| 作者单位： | 1. 无锡市广播电视大学,江苏,无锡,214021
2. 苏州大学,江苏,苏州,215021 |
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| 摘 要： | 在陶瓷生产领域，陶瓷产品由于各自的工艺性能不同，对其烧结温度都有严格的要求。电窑是目前行业中普遍采用的烧结设备。作者通过采用人工神经网络中的BP模型和应用灰色系统理论中的GM（1，2）模型，建立电窑温度动态预测系统，运用此系统可以根据电窑进出口的炉温实时预测炉内温度，对电窑的安全，高效运行和预测设备使用寿命都有一定指导意义。
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| 关 键 词： | 神经网络 灰色系统 预测 |
| 文章编号： | 1000-5269（2005）04-0408-04 |
| 收稿时间： | 2005-01-05 |
Engineering Application of a Grey Dynamic Forecasting Model based on Neural Network |
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| MA Gang.Engineering Application of a Grey Dynamic Forecasting Model based on Neural Network[J].Journal of Guizhou University(Natural Science),2005,22(4):408-411. |
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| Authors: | MA Gang |
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| Institution: | Wuxi Radio and Television University, Wuxi 214021, China |
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| Abstract: | In the ceramic industry,since the processing performance of each product is different,ceramic has the strict requirement to sintering temperature.The electric kiln is a sintering equipment which universally adopted in the present trade.By the application of BP model of artificial neural network and GM(1,2) model of grey system theory,the article establishes the dynamic temperature forecasting system of electricity kiln.And by using this system people can calculate the inside temperature of the kiln at real time according to the entrance temperature of electricity kiln.It plays a guiding role to the safety of electricity kiln,efficient operating and forecasting service span of equipments. |
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| Keywords: | neural network grey system theory biotech |
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