Metering method and system for flow of water meter based on improved Elman neural network
A flow measurement and neural network technology, applied in the field of water meter flow measurement, can solve problems such as the complexity of the corresponding laws, the low measurement accuracy of the flowmeter, and the complex process, so as to avoid complex parameter correction and correction compensation, high measurement accuracy, and convergence. fast effect
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[0041] The above and other technical features and advantages of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them.
[0042] see figure 1 The water meter flow measurement method based on the improved Elman neural network provided by Embodiment 1 of the present invention comprises the following steps:
[0043] S100. Obtain the time difference data of the downstream flight time and the upstream flight time of ultrasonic waves at each flow point in the pipeline;
[0044] S200. Perform preprocessing on each time difference data, and randomly select each preprocessed time difference data to obtain a training sample set and a test sample set;
[0045]S300, build an improved Elman neural network model, the improved Elman neural network model includes an input layer, a hidden layer, a succession layer and an ...
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