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The Research of Theory and Method on Soft Computing to Economic Contribution Rate of Education

Author: GuoHaiXiang
Tutor: ZhuKeJun
School: China University of Geosciences
Course: Management Science and Engineering
Keywords: Economic contribution rate of education Soft Computing Theory Soft Computing
CLC: G40-054
Type: Master's thesis
Year: 2005
Downloads: 401
Quote: 1
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Abstract


This paper is the National Natural Science Foundation of \Traditional contribution of education to economic calculation method is based on individual workers by level of education, choose particular worker productivity as the benchmark (or called equivalent), the other categories of workers productivity benchmark class and as a multiple of it, thus the whole society workers statistical average labor share equivalent to the total output. So inevitably the quality of labor problems, in which the resource worker awareness on environmental issues and subjectivity, incompleteness of statistical data and other issues. We calculated through soft computing the contribution of education to economic, scientific and technological progress or productivity macro Admiral comparable objects (regions) as the same class, then the class subsystem building human capital and economic growth in the relationship between the fuzzy mapping (\the contribution of education to economic rates. The quality of the relationship is mapped through adaptive intelligent systems to achieve full use of the system's fault tolerance and robustness, to adapt to the incompleteness of data and people's understanding of subjectivity, play soft computing without determine the environment computational advantages. Article is divided into four parts. The author first introduced in the introduction, the significance of this topic, domestic and foreign research present situation and problems, and finally proposes the use of soft computing theory to calculate the contribution of education to economic growth rates. The first chapter is to educate theoretical analysis of the economic contribution rate. Since Schultz calculate the contribution of education to economic, countries many scholars and research institutions dedicated to research and education economy. This chapter first economic contribution of education a literature review; Secondly, the role of education affect economic growth mechanism was analyzed; finally introduced domestic and foreign scholars contribution of education to economic calculation methods. The second chapter is an overview of soft computing. 1990s, LAZadeh fuzzy logic and their students will be combined with smart technology proposed soft computing methods (Soft Computing abbreviated SC). It fuzzy thinking, fuzzy logic techniques combine with intelligent solutions to complex systems with uncertainties in the modeling and optimization for solving problems, making model closer to a true reflection of objective reality, solving the optimization process more operations Smart. This chapter introduced the genetic algorithm (GA), artificial neural network (ANN) and neuro-fuzzy systems (AFS). This chapter concludes with a contribution of education to economic calculation of soft computing methods. The third chapter in our country as a case study to calculate the contribution of education to economic. As with the same human capital productivity of workers in different economic contribution rate environment is different, and sometimes even not comparable, therefore, we must target classification system according to differences in productivity. This chapter first describes the soft classification method, in this based on the inheritance. Self-organizing iterative analysis techniques (GA-ISODATA) classification algorithm, and then use GA-ISODATA on China's 31 provinces, municipalities and autonomous regions soft segments. Then according to the classification results to build human capital to economic growth fuzzy neural network FNN1, get human capital on economic contribution rate α_k; education to build human capital fuzzy neural network FNN2, get an education in human capital contribution rate α'_k. The conclusion that the contribution of education to the economy (Economic Contribution Rate of Education) ECE_k = α_k × α'_k. Chapter IV describes and lists the main program code, all code based Matlab6.5. This chapter first describes the key operator genetic algorithm code, such as code selection operator, crossover operator and mutation operator code code, followed by the introduction

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CLC: > Culture, science,education, sports > Education > Education > The relationship between education and other sciences,education branch > Economics of education
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