ABSTRACT
This study started with the comprehensive experimental research and practice of pre-ventive medicine. Taking the school of public health of China Medical University as an example, this paper introduced the ideas, principles, and experience of reform and implementation of comprehensive experimen-tal teaching. The methods of comprehensive experiments construction and implementation were introduced, such as subjects, application, basic training, implementation, writing, replying and score. In addition, the comprehensive experimental topics (such as classic experiment, new technology experiment, interesting ex-periment and fund project experiment et al), and basic training (such as literature searching, epidemiology and statistical analysis, laboratory safety and quality of experimental data, network sharing et al) were pre-sented in detail. It gave the evaluation that the comprehensive experimental teaching played an important role in the process of improving the quality of teaching and formed a unique preventive medicine experi-mental teaching system and talent training mode.
ABSTRACT
Objective With generalization and steadiness,a new evaluation model by Integrating Non Linear Features extraction algorithm with artificial neural networks(ANN) used for pattern recognition of quality control of Radix Paeoniae Alba was proposed in this paper.Methods The HPLC data from 29 samples with different quality were proceeded with nonlinear kernel principal component analysis(KPCA) and an improved Back propagation algorithm of ANN.The extract characteristics was fed into BP neural networks as input elements for pattern recognition.In the meantime,the processing data,the optimal numbers of hidden layers,the numbers of hidden nodes,excitation functions,and over-fitting,etc. were discussed wholly so that standardization networks was designed without jamming.Results As recognition ratio was 100%,the pattern recognition of quality control of Radix Paeoniae Alba was established successfully by trained networks and predicted results.Conclusion Integrating KPCA algorithm with ANN for pattern recognition of quality control of Radix Paeoniae Alba has been proved to be available.