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Research on unburned combustible forecast in fly ash of the coal-fired boiler based on Genetic Algorithm and Artificial Neural Network

机译：基于遗传算法和人工神经网络的燃煤锅炉飞灰未燃物燃烧预报研究。

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The boiler fuel burning is the main basis to evaluate the energy saving. This paper combined the genetic algorithm and artificial neural network to model the burning process of the boiler fuel, in order to forecast the unburned combustible in flue dust of the coal-fired boiler. Use the powerful optimizing of GA to narrow the search range, then use ANN to optimize accurately. It can prevent the BP from sinking into local minimum, low convergence rate oscillation effect and other disadvantages. And then, more accurate output data of the black box can be obtained.

机译：锅炉燃油燃烧是评估节能效果的主要依据。本文将遗传算法与人工神经网络相结合，对锅炉燃料的燃烧过程进行建模，以预测燃煤锅炉烟气中未燃烧的可燃物。使用GA强大的优化功能来缩小搜索范围，然后使用ANN进行准确的优化。它可以防止BP陷入局部最小值，低收敛速率振荡效应和其他缺点。然后，可以获得黑匣子的更准确的输出数据。

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《2011 6th International Forum on Strategic Technology》|2011年|p.1149-1152|共4页
会议地点
作者
Meng Zhao-xin; Zhang Chao-mei; Lei Xiao-gang; Sun Ying-fei;
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原文格式 PDF
正文语种
中图分类计算技术、计算机技术;
关键词
black box; genetic algorithm; neural network;

机译：黑匣子;遗传算法;神经网络;

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专利

1. Modeling and Optimization of Unburned Carbon in Coal-Fired Boiler Using Artificial Neural Network and Genetic Algorithm [J] . P. Ilamathi, V. Selladurai, K. Balamurugan Journal of Energy Resources Technology . 2013,第3期

机译：基于人工神经网络和遗传算法的燃煤锅炉未燃碳建模与优化。
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3. Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm) [J] . Shariati Mahdi, Mafipour Mohammad Saeed, Mehrabi Peyman, Smart structures and systems . 2020,第2期

机译：用杂交ANN-GA（人工神经网络 - 遗传算法）的炉渣和粉煤灰存在混凝土强度的预测
4. Research on unburned combustible forecast in fly ash of the coal-fired boiler based on Genetic Algorithm and Artificial Neural Network [C] . Meng Zhao-xin, Zhang Chao-mei, Lei Xiao-gang, International Forum on Strategic Technology . 2011

机译：基于遗传算法和人工神经网络的燃煤锅炉粉煤灰中未燃烧易燃预测研究
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Research on unburned combustible forecast in fly ash of the coal-fired boiler based on Genetic Algorithm and Artificial Neural Network

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