FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2348320209> ?p ?o ?g. }

• W2348320209 abstract "The Scientific Outlook on Development study includes four basic principles in economic and social development: balanced,people-oriented,comprehensive,and coordinated.The core principle of Scientific Outlook on Development is people-oriented.The important aspect of implementing Scientific Outlook on Development is to establish the human all-round development evaluation system that reflects the core principles of Scientific Outlook on Development.Establishing the human all-round development evaluation system based on Scientific Outlook on Development principles has a great significance on the scientific development of China. According to the connotation of Scientific Outlook on Development,this paper constructs a comprehensive human all-round development evaluation index system through selection,screening,and rational analysis of human all-round development indicators.This paper establishes human all-round development evaluation model based on support vector machines,and analyzes the development on fourteen provinces in China as of 2006. This paper is organized as follows.Section 1 contains the introduction.Section 2 constructs an index system of human all-round development evaluation based on the Scientific Outlook on Development.Section 3 describes the construction of evaluation model of human all-round development evaluation based on support vector machines.Building on the index system and the evaluation model,section 4 discusses empirical research on human all-round development of fourteen provinces in China as of 2006.This section discusses survey data used in this study,the evaluation process,and the results of this study.Finally,section 5 contains the conclusion. This paper has three aspects of contributions.Firstly,this paper maps the evaluation indicator space into the higher-dimensional feature space through support vector machines using the Gauss kernel.This solves the nonlinear weighting problem of human all-round development evaluation and changes the disadvantage of the existing evaluation method that adopts linear weighting method without considering the nonlinear relationship between the indicators and the evaluation results. Secondly,this paper designs input indicators of training set for support vector machines through an orthogonal model.At the same time,this paper designs training set for support vector machines through the product of inputs and weights.The training set of support vector machines is determined afterwards.The weight of training set is designed through AHP.This solves the problem of determining the training set without input and output.Also,this changes the comprehensive evaluation model of human all-round development based on support vector regression without training data. Thirdly,this paper calculates Gini Coefficient and Gross National Happiness by using the cumulative proportion of population,the cumulative proportion of income,inflation,and other indicators.This design solves the indirect calculation problem of Gini Coefficient and Gross National Happiness,and changes the existing research that is unable to evaluate the regional human all-round development because of statistical data flaws." @default.
• W2348320209 created "2016-06-24" @default.
• W2348320209 creator A5074942308 @default.
• W2348320209 date "2012-01-01" @default.
• W2348320209 modified "2023-09-23" @default.
• W2348320209 title "The Human All-Round Development Evaluation Model Based on Support Vector Machines and an Empirical Research on 14 Provinces in China" @default.
• W2348320209 hasPublicationYear "2012" @default.
• W2348320209 type Work @default.
• W2348320209 sameAs 2348320209 @default.
• W2348320209 citedByCount "0" @default.
• W2348320209 crossrefType "proceedings-article" @default.
• W2348320209 hasAuthorship W2348320209A5074942308 @default.
• W2348320209 hasConcept C105795698 @default.
• W2348320209 hasConcept C111919701 @default.
• W2348320209 hasConcept C120936955 @default.
• W2348320209 hasConcept C127413603 @default.
• W2348320209 hasConcept C134306372 @default.
• W2348320209 hasConcept C138885662 @default.
• W2348320209 hasConcept C17744445 @default.
• W2348320209 hasConcept C191935318 @default.
• W2348320209 hasConcept C199539241 @default.
• W2348320209 hasConcept C2522767166 @default.
• W2348320209 hasConcept C2776542497 @default.
• W2348320209 hasConcept C2778120531 @default.
• W2348320209 hasConcept C2779735493 @default.
• W2348320209 hasConcept C2780129039 @default.
• W2348320209 hasConcept C2781089502 @default.
• W2348320209 hasConcept C2991786224 @default.
• W2348320209 hasConcept C33923547 @default.
• W2348320209 hasConcept C41008148 @default.
• W2348320209 hasConcept C41895202 @default.
• W2348320209 hasConcept C42475967 @default.
• W2348320209 hasConcept C539667460 @default.
• W2348320209 hasConcept C98045186 @default.
• W2348320209 hasConceptScore W2348320209C105795698 @default.
• W2348320209 hasConceptScore W2348320209C111919701 @default.
• W2348320209 hasConceptScore W2348320209C120936955 @default.
• W2348320209 hasConceptScore W2348320209C127413603 @default.
• W2348320209 hasConceptScore W2348320209C134306372 @default.
• W2348320209 hasConceptScore W2348320209C138885662 @default.
• W2348320209 hasConceptScore W2348320209C17744445 @default.
• W2348320209 hasConceptScore W2348320209C191935318 @default.
• W2348320209 hasConceptScore W2348320209C199539241 @default.
• W2348320209 hasConceptScore W2348320209C2522767166 @default.
• W2348320209 hasConceptScore W2348320209C2776542497 @default.
• W2348320209 hasConceptScore W2348320209C2778120531 @default.
• W2348320209 hasConceptScore W2348320209C2779735493 @default.
• W2348320209 hasConceptScore W2348320209C2780129039 @default.
• W2348320209 hasConceptScore W2348320209C2781089502 @default.
• W2348320209 hasConceptScore W2348320209C2991786224 @default.
• W2348320209 hasConceptScore W2348320209C33923547 @default.
• W2348320209 hasConceptScore W2348320209C41008148 @default.
• W2348320209 hasConceptScore W2348320209C41895202 @default.
• W2348320209 hasConceptScore W2348320209C42475967 @default.
• W2348320209 hasConceptScore W2348320209C539667460 @default.
• W2348320209 hasConceptScore W2348320209C98045186 @default.
• W2348320209 hasLocation W23483202091 @default.
• W2348320209 hasOpenAccess W2348320209 @default.
• W2348320209 hasPrimaryLocation W23483202091 @default.
• W2348320209 hasRelatedWork W1179287403 @default.
• W2348320209 hasRelatedWork W1827540557 @default.
• W2348320209 hasRelatedWork W1989236580 @default.
• W2348320209 hasRelatedWork W2059410737 @default.
• W2348320209 hasRelatedWork W2094336349 @default.
• W2348320209 hasRelatedWork W2106219386 @default.
• W2348320209 hasRelatedWork W2112732042 @default.
• W2348320209 hasRelatedWork W2114399724 @default.
• W2348320209 hasRelatedWork W2122491760 @default.
• W2348320209 hasRelatedWork W2141036370 @default.
• W2348320209 hasRelatedWork W2158717360 @default.
• W2348320209 hasRelatedWork W2350787760 @default.
• W2348320209 hasRelatedWork W2352577572 @default.
• W2348320209 hasRelatedWork W2358246933 @default.
• W2348320209 hasRelatedWork W2393570456 @default.
• W2348320209 hasRelatedWork W2582866174 @default.
• W2348320209 hasRelatedWork W2793326580 @default.
• W2348320209 hasRelatedWork W3139673955 @default.
• W2348320209 hasRelatedWork W834221427 @default.
• W2348320209 hasRelatedWork W2142550639 @default.
• W2348320209 isParatext "false" @default.
• W2348320209 isRetracted "false" @default.
• W2348320209 magId "2348320209" @default.
• W2348320209 workType "article" @default.