PREDICTION OF IGNITING PROPERTES FOR COAL BY USING BP NEURAL NETWORK

ZHOU Kun; YANG Jianguo; ZHAO Hong

doi:10.19666/j.rlfd.2005.11.006

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PREDICTION OF IGNITING PROPERTES FOR COAL BY USING BP NEURAL NETWORK

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- PREDICTION OF IGNITING PROPERTES FOR COAL BY USING BP NEURAL NETWORK
- Thermal Power Generation Issue 11, (2005)
- 作者机构：
  
  1. 浙江大学,浙江,杭州,310027
  2. ,浙江,杭州,310027
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2005.11.006
  CLC： TQ534
- Published：2005
- 稿件说明：
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ZHOU Kun, YANG Jianguo, ZHAO Hong. PREDICTION OF IGNITING PROPERTES FOR COAL BY USING BP NEURAL NETWORK[J]. Thermal power generation, 2005, (11).
DOI：

ZHOU Kun, YANG Jianguo, ZHAO Hong. PREDICTION OF IGNITING PROPERTES FOR COAL BY USING BP NEURAL NETWORK[J]. Thermal power generation, 2005, (11). DOI： 10.19666/j.rlfd.2005.11.006.

摘要

采用BP神经网络

以大量的煤质分析数据和热天平试验数据为基础

分3种情况建立了煤质工业分析、发热量与着火特性(着火温度、着火稳定性指标)关系的BP神经网络模型。结果表明

用BP神经网络可以达到很高的预测精度

同时还可以比较输入和输出的相关性。所得预测结果既可为燃煤采购提供依据

又可为锅炉运行提供参考。

Abstract

Using BP neural network

and based on vast amount of coal quality analysis data

as well as thermobalance test data

a BP neural network model has been established under three situations

namely proximate analysis

relation of calorific value with ignition temperature

and with stability of ignition indices. Results show that the very high accuracy of prediction can be reached by using BP neural network

at the same time

the correlation between input and output can be compared. The obtained results of prediction can provide basis for purchasing coal

as well as provide reference for boiler operation.

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