Segmented neural network pressure sensor pressure detection method and system
The invention discloses a segmented neural network pressure sensor pressure detection method and system. The method comprises the steps of setting a BP neural network in a segmented mode, determining a training function, determining an optimal hidden layer and optimizing a genetic algorithm; sequent...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses a segmented neural network pressure sensor pressure detection method and system. The method comprises the steps of setting a BP neural network in a segmented mode, determining a training function, determining an optimal hidden layer and optimizing a genetic algorithm; sequentially dividing the detection range of the piezoresistive pressure sensor into a low section and a high section, arranging BP neural networks respectively, determining an appropriate neural network training function and the optimal number of hidden layers, improving the recognition accuracy, and optimizing the initial weights and threshold values of the BP neural networks with the optimal number of hidden layers through a genetic algorithm; and determining a segmented neural network model based on genetic algorithm optimization. The method has the advantages that the local search capability of the BP neural network is fully exerted, the algorithm stability is improved, the algorithm is prevented from falling into a |
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