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- W2022117372 abstract "The paper deals with an analog neural network (ANN) design methodology for pre-processing in measurement sensors. The method is based on the idea of performing all of the processing operations by means of analog neural blocks. In the paper, some theoretical remarks on both the method and on its capacity for limiting the effects of parasitic environmental parameters on the sensors are given. Furthermore, in order to highlight the method applicability, two specific case studies related to a resistive displacement sensor and an ultrasound distance sensor are investigated. In particular, two ANNs for temperature compensation of both the sensors are designed and experimentally tested." @default.
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- W2022117372 date "1998-09-01" @default.
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- W2022117372 title "Design method of analog neural networks for pre-processing in measurement sensors" @default.
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- W2022117372 doi "https://doi.org/10.1016/s0263-2241(98)00041-4" @default.
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