2results about How to "Achieving Precise Forecasting" patented technology

The application discloses a laser processing quality prediction method based on an improved starfish optimization algorithm and relates to the technical field of neural network models. The method comprises the following steps: first, improving the starfish optimization algorithm based on the Levy flight principle to obtain an improved starfish optimization algorithm; second, optimizing the weights and biases of a back propagation neural network based on the improved starfish algorithm, and inhibiting overfitting of the back propagation neural network based on an L1 regularization method to obtain a target back propagation neural network; third, acquiring process parameters of silicon carbide laser processing; and finally, inputting the process parameters into the pre-trained target back propagation neural network to obtain the processing quality parameters of the silicon carbide laser processing. The starfish optimization algorithm is improved by introducing the Levy flight principle, and high-precision prediction of the silicon carbide picosecond laser processing quality is realized.

The application relates to the technical field of weather radars, in particular to a radar intelligent echo extrapolation method based on a global-local aggregation model.A kind of radar intelligent echo extrapolation method based on global-local aggregation model is provided according to the application, a global-local aggregation model is built and trained by constructing meteorological radar echo grayscale image sequence dataset and its corresponding optical flow sequence dataset, the accurate prediction of future meteorological radar echo image sequence is realized.Carrying out the echo sequence optical flow information as motion guide information, and effectively fusing the echo sequence space-time information under different time scales by means of the attention mechanism, emphasizing the global-local space-time aggregation urgently needed in the echo extrapolation task, the ability to predict the long time sequence of strong rainfall coverage area and intensity is improved.