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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.
Lei Si
Zhongbin Wang
Xin-hua Liu
Chao Tan
Jing Xu
Kehong Zheng
Published in:
Sensors (2015)
Keyphrases
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quasi newton
multi sensor data fusion
neural network
data fusion
neural network training
optimization method
step size
sufficient conditions
newton method
optimization methods
artificial neural networks
neural network model
training algorithm
fuzzy logic
back propagation
particle swarm optimization
multiscale