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- W2248385280 abstract "A comparative analysis of Linearization technique using two prominent neural network approaches is presented. Generally linearizing the non-linear input/output characteristics of most of the sensors available using hardware/software is indeed a formidable task. The ANN employs two different approaches of feed forward neural network using radial basis function and Levenberg-Marquardt algorithm, for automatic adjustments of weights and biases to arrive within a minimum mean square error and number of iterations. The performance comparison of the two algorithms for the linearization of NTC thermistor is analysed in this paper." @default.
- W2248385280 created "2016-06-24" @default.
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- W2248385280 date "2015-09-01" @default.
- W2248385280 modified "2023-09-25" @default.
- W2248385280 title "Performance comparison of radial basis function with feed-forward neural network for sensor linearization" @default.
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- W2248385280 doi "https://doi.org/10.1109/ic4.2015.7375530" @default.
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