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Shun Wang, Jiayan Wang, Zhikang Xu, Ji Wang, Rui Li and Jinliang Dai
The application of titanium alloy in shipbuilding can reduce ship weight and carbon emissions. To solve the problem of titanium alloy forming, the deformation prediction of titanium alloy line heating based on a backpropagation (BP) neural network and sp...
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Chao Wang, Jianhui Xu, Yuefeng Li, Tuanhui Wang and Qiwei Wang
Rockbursts are serious threats to the safe production of mining, resulting in great casualties and property losses. The accurate prediction of rockburst is an important premise that influences the safety and health of miners. As a classical machine learn...
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Gaoke Ma, Hongyun Jia, Jichun Xiao and Lina Hao
Exoskeletal robots are of critical importance in the domain of mechanical boosting. The pneumatic artificial muscle (PAM) is commonly used as a flexible actuator in exoskeletal robots designed for upper limbs due to its high power-to-weight ratio, confor...
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Lingfei Xiao, Min Xu, Yuhan Chen and Yusheng Chen
This paper provides a novel hybrid grey wolf optimization algorithm and a new nonlinear model predictive control method for aircraft engines. These contributions can also be used for other kind of systems with constraints and performance optimization req...
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Aidong Hou, Shengli Jin, Dietmar Gruber and Harald Harmuth
Artificial neural network (ANN) is widely applied as a predictive tool to solve complex problems. The performance of an ANN model is significantly affected by the applied architectural parameters such as the node number in a hidden layer, which is largel...
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