The implementation of optimized neural network to improve the accuracy of flow measurement by ultrasonic flowmeter

Oleksandr Ihorovich Parfeniuk, O. Naumchuk, Olena Olehivna Poliukhovych, P. Mazurek
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Abstract

It is proposed the technology of intellectual measurement of expenses with the use of an artificial neural network for overcoming the constraints caused by nonlinear characteristics of ultrasonic flowmeters. It is presented structural scheme of the proposed technology and structure of the model of the neural network
实现优化神经网络,提高超声波流量计流量测量的精度
针对超声波流量计非线性特性的限制,提出了一种基于人工神经网络的费用智能计量技术。给出了该技术的结构方案和神经网络模型的结构
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