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

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Lei Si, Zhongbin Wang, Xin-hua Liu, Chao Tan, Jing Xu, Kehong Zheng. Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory. Sensors, 15(11):28772-28795, 2015. [doi]

This author has not been identified. Look up 'Lei Si' in GoogleThis author has not been identified. Look up 'Zhongbin Wang' in GoogleThis author has not been identified. Look up 'Xin-hua Liu' in GoogleThis author has not been identified. Look up 'Chao Tan' in GoogleThis author has not been identified. Look up 'Jing Xu' in GoogleThis author has not been identified. Look up 'Kehong Zheng' in Google

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