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This paper introduces the multiple sensing mechanism of online moisture test for grain and improved BP neural network, and gives hardware structure of moisture test system for grain centering on TMS320F2812. In this paper, dielectric loss factor is measured by the method of orthogonal separation on phase-sensitive detection. Though measuring three parameters of dielectric loss factor, power fluctuations...
The multiple sensing mechanism of online moisture test for corn and improved BP neural network was introduced, and hardware structure of moisture test system for corn centering on TMS320F2812 was given. In this paper, dielectric loss factor is measured by the method of orthogonal separation on phase-sensitive detection. Though measuring three parameters of dielectric loss factor, power fluctuations...
This paper introduces the multiple sensing mechanism of online moisture test for grain and improved BP neural network. Using BP neural network to construct multi-input single-output model, applying gradient descent method with forgetting factor for parameters adjustment of BP neural network, utilizing the nonlinear mapping ability and learning generalization ability of the BP neural network, and using...
For the performance and accuracy requirements of brushless DC motor speed control system, this paper integrates organically neural network and the traditional PID to constitute brushless DC motor speed control system based on BP neural network self-tuning parameters PID control. The traditional PID controller is used in the beginning several seconds, and then another parameter self-tuning PID controller...
For implementing supply chain management effectively, a manufacturing supply chain performance evaluation model was proposed based on heuristic attribute reduction and neural network from the perspective of Knowledge Discovery and Data Mining firstly. Then, the calculation and analysis process of the model was given and discussed. The performance decision-making table and discernable matrix were designed,...
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