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Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory

机译：基于并行拟牛顿神经网络和Dempster-shafer理论的采煤机切削条件多传感器数据融合识别

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Lei Si; Zhongbin Wang; Xinhua Liu; Chao Tan; Jing Xu; Kehong Zheng;
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年度 2015
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1. Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory [J] . Chao Tan, Jing Xu, Kehong Zheng, Sensors . 2015,第11期

机译：基于并行拟牛顿神经网络和Dempster-Shafer理论的采煤机切割条件多传感器数据融合识别
2. Engine fault diagnosis based on multi-sensor information fusion using Dempster-Shafer evidence theory [J] . Otman Basir, Xiaohong Yuan Information Fusion . 2007,第4期

机译：基于Dempster-Shafer证据理论的基于多传感器信息融合的发动机故障诊断
3. Prediction of human odour assessments based on hedonic tone method using instrument measurements and multi-sensor data fusion integrated neural networks [J] . Chang Fangle, Heinemann Paul H. Biosystems Engineering . 2020,第1期

机译：利用仪器测量和多传感器数据融合综合神经网络预测人类气味评估的预测
4. A Method of Multi-sensor Data Fusion Based on Rough Set Theory and ART-2 Neural Network [C] . Yongjun Zhao International Symposium on Computational Intelligence and Design . 2014

机译：基于粗糙集理论和ART-2神经网络的多传感器数据融合方法
5. Fusion ARTMAP: Neural networks for multi-sensor fusion and classification. [D] . Asfour, Yousif Raja. 1995

机译：融合ARTMAP：用于多传感器融合和分类的神经网络。
6. Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory [O] . Lei Si, Zhongbin Wang, Xinhua Liu, 2015

机译：基于并行拟牛顿神经网络和Dempster-Shafer理论的采煤机切割条件多传感器数据融合识别
7. An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox [O] . Luyang Jing, Taiyong Wang, Ming Zhao, 2017

机译：基于深度卷积神经网络的自适应多传感器数据融合方法在行星齿轮箱故障诊断中的应用

Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory

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