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引用次数: 0

摘要

提出了一种测量系统中光纤传感器的学习校准方法。该方法涉及测量值的精确积分表示,最初使用隐藏处理单元的连续体。在下一步中,连续统的离散子集均匀地逼近测量值。这允许设计具有相同近似能力的连接网络。
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Calibration of fiber-optic sensors using universal approximators
A calibration-through-learning method for fiber-optic sensors in measurement systems is presented. The method involves exact integral representations of the measurand value, initially using a continuum of hidden processing units. In the next step, discrete subsets of the continuum uniformly approximate the measurand. This allows for a design of connectionist networks capable of the same approximation capability.<>
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