Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance]This paper compares the similarities and differences between Chinese and British public library laws from the perspective of public library governance, reveals the differences between these public library laws, and thus obtains beneficial enlightenment on Chinese Public Library Law.[Method/process] Firstly, this paper expounds the basic situation, legislative purpose and governance objectives of library laws in China and Britain respectively. Secondly, using the theory of public library governance, this paper analyzes the contents of library laws in China and Britain, and summarizes their bibrarygovernance units, governance subjects and governance evaluation. Finally, this paper compares the similarities and differences of the legal management elements of libraries in China and Britain, and makes a summary and reflection on this basis.[Result/conclusion] Chinese Public Library Law should flexibly apply the theory of library governance flexibly; expand the management unit properly; distinguish between the construction subject and the management subject strictly; further promote the corporate governance; and fully supervise the construction subject.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-06-19 Cooperative journals: 《计算机应用研究》
Abstract： The discrete binary particle swarm optimization algorithm has many advantages in various discrete optimization problems, but it is very easy to fall into the local optimal solution due to the nonlinear problem, and the best feature subset cannot be obtained. The noise reduction self-encoder can be mapped and reconstructed through a multi-layer nonlinear network, which has a good effect on Chinese medicine data. This paper proposes a feature combination method of fusion noise reduction self-encoder and BPSO. This method mainly uses noise reduction self-encoder to perform nonlinear mapping of features to form super-complete basis, and then searches in super-complete basis through BPSO. To get the best feature subset. The clinical diabetes datasets and UCI datasets were used for analysis and processing. The experimental results showed that the combination of fused-noise self-encoder and BPSO features a good adaptability to clinical experimental data of TCM.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-02 Cooperative journals: 《计算机应用研究》
Abstract： The traditional partial least squares method only considers the importance of single features and it exists the redundancy and multicollinearity among the features. The statistical correlation between features is involved into the traditional partial least squares analysis, and constructed the model of PLS feature selection based on feature correlation. Firstly, the feature group is pre-selected by using of the feature relevance, and then put into the partial least squares model for training to assess whether the feature group is desirable. Combining with the greedy search strategy, the candidate features are evaluated one by one, and the candidate features with the smallest objective function are added to the selected features. Respectively, using the data of the maxingshigan decoction of the monarch drug to treat the asthma or cough and UCI data sets to analyze . The experimental results show that the feature selection method can find an optimal feature group.
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