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基于最小二乘支持向量机的离子传感器自校正的研究*

, PP. 115-118

Keywords: 离子传感器,最小二乘支持向量机(LSSVM),自校正,漂移

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Abstract:

离子传感器是环境水质监测、污水处理、设施农业等领域的关键技术之一.由于离子传感器的非线性、漂移和交叉敏感性等影响其检测精度和可靠性,难以进行连续在线检测.本文研究硝酸根离子传感器的自校正方法,以适应动态环境的连续监测.根据实验数据,详细分析硝酸根离子传感器的响应特性,考虑零点和时间漂移,基于最小二乘支持向量机,提出一种硝酸根离子传感器的自校正方法,并给出详细描述和分析.实验结果表明其较显著地降低离子传感器的响应误差,验证本文所提方法的有效性.

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