Bin Nie

Crowds' Classification Using Hierarchical Cluster, Rough Sets, Principal Component Analysis and Its Combination

13 kind of nationalities crowds’ data classification using hierarchical cluster(HC), rough sets(RS), principal component analysis(PCA) and its combination, the result shows: first, rough sets and principal component analysis can dimensionality reduction and de-noising; second, hierarchical cluster after rough sets(RSHC), principal component analysis after rough sets(PCARS), principal component analysis after principal component analysis(PCAPCA), hierarchical cluster after principal component analysis (HCPCA), rough sets after principal component analysis(PCARS) are similarly result. Then, according to different practical application select different methods or combinative methods, which can maximize their advantages and minimize their disadvantages.

A New Operating System Scheduling Algorithm

The paper compares several kinds scheduling algorithm,which include First-Come,First-Served,Shortest-Job (process)-First, Highest Response Ratio Next. Each algorithm has some advantages or disadvantages.In order to take all the factors,such as first come job,shortest job,longest job,highest respones ratio job,and etc,the paper put forward a new operating system scheduling algorithm median-time slice-Highest Response Ratio Next, the method was proved to be feasible and effective after tested the five process sequence.

Mining VIP Based on an Improved Hierarchical Clustering Method

Traditional hierarchical clustering (HC) methods which always fail to deal with very large databases or high dimensional spaces. In the paper, arithmetic mean, arithmetic mean ratios and so on are introduced. Variable trend, data preprocessing for database based on variable trend, and mining VIP (variable important in M/Z, or called typical characteristic) based on an improved hierarchical clustering method is put forward. It was proved to be feasible and effective to mining VIP according necessity after tested.

The Research for Traditional Chinese Medicine's Nature and its Classification Model

the research for traditional Chinese medicine’s warm and cold natures classification is a significative thing for clinical. The paper put forward a model to classify Chinese herbs’ warm and cold natures. The first, data preprocessing; The second, extract the typical M/Z(mass-to-charge ratio) character values from these mice of the train sample have been given the warm or cold natures which have been known The third, these typical character values model rules set, test it use other same type natures typical character values and the different type natures typical character values respectively, the result is to filter the very important values (VIP), as the classification rules. The model was proved to be feasible and effective after tested with 6 type’s warm nature’s herbs, 6 type’s cold nature’s herbs.

Trend Balanced Genetic Algorithm for Blending Optimization of Traditional Chinese Medicine

To ensure the quality of traditional Chinese medicine is a key task for manufacturers of traditional Chinese medicine. In this paper, a novel method based on an improved trend balanced genetic algorithm is used for blending optimization in order to ensure the quality of traditional Chinese medicine. Our newly designed genetic algorithm is composed of 4 operators including a trend crossover operator, a trend mutation operator, a trend balance operator and a trend selection operator based on our trend balanced theory. In the experiment, our trend balanced genetic algorithm is more accurate and efficient than those of traditional genetic algorithm and non-linear least square method.

Study TCM Prescription Compatibility Dose-Response Relationship Based on MSC-PLS

Study traditional Chinese medicine prescription compatibility based on multiplicative signal correction and partial least squares (MSC-PLS). Method: mathematical modeling base on MSC-PLS. Results: gain the regression coefficient and equation, VIP sorting, loadings Bi plot, and seek out the optimized direction of the prescription.Conclusion: using multiplicative signal correction and partial least squares method optimize the compatibility of the dachengqi decoction cure ileus rats is feasible and effective.

Data Mining and Optimize TCM Prescription Compatibility Based on WDS-PLS

Data mining and optimize traditional Chinese medicine (TCM) prescription compatibility based on wavelet denoise spectral and partial least squares (WDS-PLS). Method: First of all, experimental design: with reference to the original formula, the herbal medicines in a prescription designed nine formula based on mixing uniform design; Secondly, obtain experimental data and data standardization; Finally, mathematical modeling, data mining and optimize TCM prescription compatibility base on WDS-PLS.Results: gain the regression coefficient and equation, VIP sorting, loadings Bi plot, and seek out the optimized direction of the prescription. Conclusion: the method data mining and optimize the compatibility of the dachengqi decoction is feasible and effective.

Research for TCM Prescription Compatibility Chemical Components Dose-Response Relationship Using MSC-PLS

Study traditional Chinese medicine prescription compatibility chemical components Dose-response relationship based on multiplicative signal correction and partial least squares (MSC-PLS). Method: mathematical modeling base on MSC-PLS. Results: study the compatibility chemical components of the dachengqi decoction; mining the regression coefficient and equation, VIP sorting, loadings Bi plot base on the method. Conclusion: the method mining the data information and optimization the compatibility of the dachengqi decoction cure ileus rats is feasible and effective.

Explore Traditional Chinese Medicine Prescription Compatibility Based on Local Partial Least Squares

Explore Traditional Chinese Medicine prescription based on Local partial least squares (LPLS). Method: mathematical modeling base on LPLS, gain the VIP sorting, loadings Bi plot. Results: seek out the optimized direction of the prescription. Conclusion: the method optimization the compatibility of the dachengqi decoction is feasible and effective.

Study the Relationship between Chemical Components of Complex Prescription and Blood Flow of the Ileus Rats

Explore the relationship between chemical components of complex prescription and blood flow of the ileus rats, and predict the best compatibility. Method: first of all, experimental design. with reference to the original formula, the herbal medicines in a prescription include Rhubarb, Mangnolia officinalis, immature bitter orange, mirabilite designed nine formula based on Mixing uniform design, obtain chemical components of complex prescription and intestinal blood flow data; Secondly, explore important variables and interaction affect the information; The third, mathematical modelling. Finally, the target optimization. Results: there are interactions in the chemical components of complex prescription, and have the best compatibility. Conclusion: conjunctive use correlation analysis, partial correlation analysis, orthogonal partial least square analysis, Partial least-squares Regression, Optimal Method to study the compatibility of the dachengqi decoction is feasible and effective.