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为提高耦合波导系统的透明度,文章重点分析了波导损耗、非线性以及周期调制参数对系统性能的影响。在弱波导理论近似下,采用龙格-库塔算法数值求解非线性薛定谔方程,发现随着耦合波导损耗的增大,输入波导的透明度表现出先衰减而后增强的反直觉现象。进一步研究表明,提高输入波导的非线性强度,可以有效地提高输入波导中的光强分布,表现为光信号透明度的增强,该研究结论对于普通耦合系统和周期调制系统具有普适性。因此,提高输入波导的非线性,增强耦合波导的损耗,并对输入波导进行适当的周期调制,可以获得最大的透明度。

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In the traditional text classification, KNN algorithm is widely used in text classification because of its simplicity, high classification accuracy and non parameter. However, in the process of text classification, traditional KNN needs to calculate the similarity between the text to be classified and each training sample. When faced with massive text, the classification effect will be significantly reduced. To solve this problem, a KNN progressive text classification method based on three-way decision making is proposed to improve its classification efficiency. Combined with the advantages of three-way decision in classification, and it is combined with KNN algorithm, through the title, abstract, keywords and other progressive classification processing, so as to complete the text classification, improve the efficiency and performance of text classification. Experiments show that the algorithm can ensure the classification accuracy of KNN algorithm and improve the classification efficiency at the same time. [ABSTRACT FROM AUTHOR]

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Copyright of Chinese Journal of Clinical Healthcare is the property of Chinese Journal of Clinical Healthcare and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Clinical Nursing in Practice is the property of Journal of Clinical Nursing in Practice (Editorial Board, Shanghai Jiao Tong University Press) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)