节点文献
基于BP网络的燃烧器火焰燃烧状态识别
Burner Flame Recognition Based on Backpropagation Neural Network
【摘要】 基于原有数字图像处理系统 ,根据采集的电站锅炉直流燃烧器和旋流燃烧器火焰图像 ,讨论了特征值的意义和提取方法 ,运用现代人工神经网络智能理论 ,设计并训练了BP网络实现燃烧状态实时判断的功能
【Abstract】 Based on the original digital image processing system, character value is distilled from the flame image of the tangential burner and the swirl burner. The theory of artificial neural network is applied and BP Neural Network is designed and trained to discern combustion state at the present time.
- 【文献出处】 东北电力学院学报 ,Journal of Northeast China Institute of Electric Power Engineering(Natural Science Edition) , 编辑部邮箱 ,2005年01期
- 【分类号】TK31
- 【被引频次】14
- 【下载频次】162