ANALYSIS OF THE SLAGGING BEHAVIOR OF COAL BASED ON NEURAL NETWORK DATA-EXCAVATING TECHNOLOGY

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Thermal Power Generation Issue 6, Pages: 27-30(2004)

更新时间：2025-09-28

- ANALYSIS OF THE SLAGGING BEHAVIOR OF COAL BASED ON NEURAL NETWORK DATA-EXCAVATING TECHNOLOGY
- 作者机构：
  
  1. 西安交通大学
  2. 国电热工研究院
  3. 西北电力设计院,陕西,西安,710049
  4. ,陕西,西安,710048
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2004.06.007
  CLC： TP311.13
- Published：2004
- 稿件说明：
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XU Chuangxue, ZHANG Xin, KANG Aijun. ANALYSIS OF THE SLAGGING BEHAVIOR OF COAL BASED ON NEURAL NETWORK DATA-EXCAVATING TECHNOLOGY[J]. Thermal Power Generation, 2004, (6): 27-30.
DOI：

XU Chuangxue, ZHANG Xin, KANG Aijun. ANALYSIS OF THE SLAGGING BEHAVIOR OF COAL BASED ON NEURAL NETWORK DATA-EXCAVATING TECHNOLOGY[J]. Thermal Power Generation, 2004, (6): 27-30. DOI： 10.19666/j.rlfd.2004.06.007.

应用神经网络工具对动力用煤数据库进行数据挖掘

对影响煤灰结渣的大量煤质样本数据进行训练和验证

建立了适合国内煤质结渣预测的网络模型

扩展了对锅炉运行中结渣状态的判断能力

Dataexcavation for database of coals used in power industry has been carried out by using neural network dataexcavating tool

and a large number of coal quality specimen data affecting the coal ash slagging behavior being trained and verified

a network model suitable for slagging prediction of various kinds of domestic coals being established

expanding the judgement ability for slagging state in boiler operation.

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