Solid engine test data analysis method based on BP neural network
A technology of BP neural network and solid engine, applied in the direction of neural learning method, biological neural network model, neural architecture, etc., can solve problems such as lengthy calculation process, and achieve the effect of avoiding calculation process
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[0041] Develop a neural network backpropagation algorithm based on artificial intelligence, which can predict and evaluate solid motors that have not been tested, and use a large number of historical data resources to continuously iteratively correct them, providing a solution to the problems existing in traditional solid motor tests. This is an effective technical approach. When there are potential hidden dangers in the prediction results, the loss can be stopped in time according to the prediction results, and the test can be carried out after updating and optimizing. On the other hand, there are some empirical parameters in the field of solid motors, and the gradient descent method in the backpropagation neural network gradually optimizes the parameters through continuous iterative correction.
[0042] The basic principle of the present invention is to build a specific structure for solid engine test data based on the neural network framework in the field of artificial intel...
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