激光与光电子学进展, 2020, 57 (10): 101015, 网络出版: 2020-05-08   

基于深度学习和最大相关最小冗余的火焰图像检测方法 下载: 1474次

Flame Image Detection Method Based on Deep Learning with Maximal Relevance and Minimal Redundancy
作者单位
西安建筑科技大学信息与控制工程学院, 陕西 西安 710055
引用该论文

李梓瑞, 王慧琴, 胡燕, 卢英. 基于深度学习和最大相关最小冗余的火焰图像检测方法[J]. 激光与光电子学进展, 2020, 57(10): 101015.

Zirui Li, Huiqin Wang, Yan Hu, Ying Lu. Flame Image Detection Method Based on Deep Learning with Maximal Relevance and Minimal Redundancy[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101015.

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李梓瑞, 王慧琴, 胡燕, 卢英. 基于深度学习和最大相关最小冗余的火焰图像检测方法[J]. 激光与光电子学进展, 2020, 57(10): 101015. Zirui Li, Huiqin Wang, Yan Hu, Ying Lu. Flame Image Detection Method Based on Deep Learning with Maximal Relevance and Minimal Redundancy[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101015.

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