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Fuzzy logic in the improvement of semiconductor gas sensor performance

机译:半导体气体传感器性能改善的模糊逻辑

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The authors developed fuzzy logic procedure for the exact estimation of ozone concentration in air with variable humidity. The used sensor array consisted of thin film ozone sensor fabricated by the authors and commercial Keithley humidity sensor. Two-input fuzzy sensor model was elaborated using the known calibration data and developing the learning procedure based on genetic algorithms. The performance of the model was tested.
机译:作者开发了模糊逻辑程序,用于确切地估计具有可变湿度的空气中的臭氧浓度。二手传感器阵列由作者和商用Keithley湿度传感器制造的薄膜臭氧传感器组成。使用已知的校准数据阐述了两输入模糊传感器模型,并在基于遗传算法开发学习过程。测试模型的性能。

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