This paper analyzes the content composition and detailed structure of the MNIST dataset,introduces the overall level of the traditional LeNet5 network,and proposes an improved algorithm for its hidden layer,optimizati...
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ISBN:
(纸本)9781510876996
This paper analyzes the content composition and detailed structure of the MNIST dataset,introduces the overall level of the traditional LeNet5 network,and proposes an improved algorithm for its hidden layer,optimization function,activation function,*** the network layer ***,and the effectiveness of the algorithm is verified by *** paper has certain reference value for traditional neural network optimization and improving the correct classification rate of MNIST data sets.
The article examines a problem of searching for new energy-efficient technological solutions in alumina production, which is characterized by nonlinearity, inertia and closedness. It suggests a method to solve this pr...
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ISBN:
(纸本)9781467381154
The article examines a problem of searching for new energy-efficient technological solutions in alumina production, which is characterized by nonlinearity, inertia and closedness. It suggests a method to solve this problem on the basis of modeling of the production process and development of the optimizing function based on production cost and obtaining values of the process variables.
Unmanned mine vehicle driving technology is a significant part of smart mining research. This paper proposes a model predictive control strategy for the planning path trajectory tracking problem of unmanned mine vehic...
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Unmanned mine vehicle driving technology is a significant part of smart mining research. This paper proposes a model predictive control strategy for the planning path trajectory tracking problem of unmanned mine vehicles during mining and transportation. Firstly, we construct an optimized function with soft constraints. Secondly, the terminal equation constraint is introduced to design model predictive control optimization problem, thereby transforming the trajectory tracking problem of the unmanned mine vehicle into the solution of the optimization problem. Then the unmanned mine vehicle trajectory tracking model predictive controller is designed, and the stability of the closed loop system through the Lyapunov stability theory is proved. Finally, a simulation example is used to verify that the terminal equation constraint model predictive controller proposed in this paper has a good tracking effect in the process of unmanned mine vehicle trajectory tracking. The control strategy proposed in this paper has improved the effect of unmanned mine vehicle planning path tracking, and its the following speed and stability are enhanced.
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