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关注:1
2013-05-23 12:21
求翻译:By a nonlinear least square routine, the regression equations corresponding to the above isotherms can be obtained and their constants along with the correlation coefficients r are all summarized in Table 1. The results clearly show that the adsorption data for the studied adsorption systems fit well to both the Langmu是什么意思?![]() ![]() By a nonlinear least square routine, the regression equations corresponding to the above isotherms can be obtained and their constants along with the correlation coefficients r are all summarized in Table 1. The results clearly show that the adsorption data for the studied adsorption systems fit well to both the Langmu
问题补充: |
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2013-05-23 12:21:38
通过非线性最小二乘程序,对应于上述的等温线的回归方程能够得到和它们连同相关系数r常数都总结在表1的结果清楚地表明,对于所研究的吸附系统的吸附数据拟合很好地
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2013-05-23 12:23:18
正在翻译,请等待...
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2013-05-23 12:24:58
正在翻译,请等待...
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2013-05-23 12:26:38
由非线性的最小平方例程,可以获得对应于上述等温线的回归方程和相关系数 r 他们常数所有简列于表 1。结果清楚地表明研究的吸附体系的吸附数据适用朗缪尔和 Freundlich 相关因素大于 0.976 模型。
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2013-05-23 12:28:18
按一项非线性最不方的日常工作,与以上等温线对应的回归等式可以被获取和他们的连同关联系数的常量 r 在表 1 中都被总结。结果清楚地显示被学习的吸附系统的吸附数据非常合适到朗穆尔和对于相关联的因素的 Freundlich 模型更大比 0.976。
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