防空导弹飞行试验集成故障诊断专家系统

为了对防空导弹飞行试验中的故障进行有效诊断,在分析现有基于知识、案例、模型、集成神经网络等推理的特点和局限性的基础上,探究了几种集成诊断推理的可能实现方法,再根据防空导弹故障模式特点,提出了一种集规则、案例、结构/功能模型和集成人工神经网络等诊断方法于一体的集成智能诊断专家系统。给出并研究了基于多深度知识、多层次推理的防空导弹诊断系统结构;研究了诊断系统的知识模型及问题求解策略。

Virtual Plant Modeling Based on Mutual Feedback of Function-structure

[Objective] To study virtual plant modeling based on mutual feedback of function-structure.[Method] With the analysis of the shortcomings of current virtual plant modeling method,the modeling with the idea of function-structure mutual feedback was put forward,and the steps of this modeling were elaborated,including the determination of morphological structure model,biomass production model,biomass allocation model,organ reconstruction model,and the integration method of function model and morphological structure model.[Results] The breakthrough of function-structure mutual feedback based mechanism from the boundaries of physiological ecology model and morphological structure model can solve the difficulty of data transmission between the two models and build an integrated model from the two,which can effectively reflect the incidence relation between plant morphology and function,and more suitable for the growth mechanisms of plants.This modeling approach has significant advantages in the dynamic simulation of plant growth.[Conclusion] The virtual plant modeling based on function-structure mutual feedback provides basis for the simulation of plant growth status in the next stage,and has important significance for the accurate simulation of the dynamic growth process of plant.

A Numerical Verification of Self-Similar Multiplicative Theory for Small-Scale Atmospheric Turbulent Convection

The self-similar multiplicative theory(SSM theory), aims to interpret the scaling behavior of the temperature structure function. In the present paper, the author report results from a numerical simulation of atmospheric turbulent convection in order to verify this theory. The simulation was based on a shell model which was deduced from simplified atmospheric convection equations. The numerical results agreed well with the theory prediction of scaling law from the first order to the eighth order. They also showed that the prediction of this theory was better than that given by the Kolmogorov's theory in 1941, log-normal, and β model theories.

A data structure and function classification based method to evaluate clustering models for gene expression data

Objective:To establish a systematic framework for selecting the best clustering algorithm and provide an evaluation method for clustering analyses of gene expression data. Methods: Based on data structure (internal information) and function classification (external information), the evaluation of gene expression data analyses were carried out by using 2 approaches. Firstly, to assess the predictive power of clusteringalgorithms, Entropy was introduced to measure the consistency between the clustering results from different algorithms and the known and validated functional classifications. Secondly, a modified method of figure of merit (adjust-FOM) was used as internal assessment method. In this method, one clustering algorithm was used to analyze all data but one experimental condition, the remaining condition was used to assess the predictive power of the resulting clusters. This method was applied on 3 gene expression data sets (2 from the Lyer's Serum Data Sets, and 1 from the Ferea's Saccharomyces Cerevisiae Data Set). Results: A method based on entropy and figure of merit (FOM) was proposed to explore the results of the 3 data sets obtained by 6 different algorithms, SOM and Fuzzy clustering methods were confirmed to possess the highest ability to cluster. Conclusion: A method based on entropy is firstly brought forward to evaluate clustering analyses.Different results are attained in evaluating same data set due to different function classification. According to the curves of adjust_FOM and Entropy_FOM, SOM and Fuzzy clustering methods show the highest ability to cluster on the 3 data sets.

On the ways of cultivating the creativity of talents

The creative talents are of constructive significance to the development of the country. Starting from the early exploration and the scientific definition of the creativity of the talents, this article summarizes the research achievements of the creativity of talents in China from three aspects of the determination of the nature and the research of the structural model, the research of the relationship between creativity and other factors, and the development and research of the cross cultural creativity. And from the perspective of the theory and the practice, the author puts forward the ways to cultivate the creativity of the talents from the five dimensions of optimizing the development of the brain functions, improving the abilities of the thinking, judgment and control, debugging the emotional stability and the creative personality, striving to improve the teachers＇ creativity, and drawing lessons from the practical experience of training innovative talents in western countries.

On the ways of cultivating the creativity of talents

The creative talents are of constructive significance to the development of the country. Starting from the early exploration and the scientific definition of the creativity of the talents, this article summarizes the research achievements of the creativity of talents in China from three aspects of the determination of the nature and the research of the structural model, the research of the relationship between creativity and other factors, and the development and research of the cross cultural creativity. And from the perspective of the theory and the practice, the author puts forward the ways to cultivate the creativity of the talents from the five dimensions of optimizing the development of the brain functions, improving the abilities of the thinking, judgment and control, debugging the emotional stability and the creative personality, striving to improve the teachers＇ creativity, and drawing lessons from the practical experience of training innovative talents in western countries.

A study of nonlinear age-structured population models

This paper presents a novel analysis for the solution of nonlinear age-structured prob- lem which is of extreme importance in biological sciences. The presented model is very useful but quite complicated. Modified variational iteration method （MVIM） coupled with auxiliary parameter is used to cope with the complexity of the model which subse- quently shows better results as compared to some existing results available in literature. Furthermore, an appropriate way is used for the identification of auxiliary parameter by means of residual function. Numerical examples are presented for the analysis of the pro- posed algorithm. Graphical results along with the discussions re-confirm the efficiency of proposed algorithm. The work proposes a new algorithm where He＇s polynomials and an auxiliary parameter are merged with correction functional. The suggested scheme is implemented on nonlinear age-structured population models. Graphs are plotted for the residual function that reflects the accuracy and convergence of the presented algorithm.