Method and device for predicting Mach number of wind tunnel based on convolutional neural network
A technology of convolutional neural network and prediction method, applied in the field of non-transitory computer-readable storage medium, can solve the problems of slow training, huge parameters, and reducing the effect of fitting the real situation.
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[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0024] figure 1 It is a flowchart of a method for predicting the Mach number of a wind tunnel based on a convolutional neural network according to an embodiment of the present invention.
[0025] Such as figure 1 As shown, the method for predicting the Mach number of the wind tunnel based on the convolutional neural network in the embodiment of the present invention may include the following steps:
[0026] S1. Acquiring wind tunnel data within a first prese...
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