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论文题目：A Classification Method of Projection Pursuit Based on Population Migration Algorithm for Fly Ash
会议论文，DOI 10.4028/www.scientific.net/AMR.1010-1012.900
Periodical Advanced Materials Research (Volumes 1010 - 1012)
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Accession number:

20143618136150


Title:
A classification method of projection pursuit based on population migration algorithm for fly ash

Authors:
Xu, Lin1; Fang, Chong1 Email author fangchong2009@163.com
Author affiliation:  1 Department of Hydraulic Engineering, Guangxi Technology College of Water Conservancy and Electric Power, Nanning 530023, China

Source title:
Advanced Materials Research

Abbreviated source title:
Adv. Mater. Res.

Volume:
1010-1012

Monograph title:
Environmental Protection and Resources Exploitation II

Issue date:
2014

Publication year:
2014

Pages:
900-905

Language:
English

ISSN:
10226680

E-ISSN:
16628985

ISBN-13:
9783038352099

Document type:
Conference article (CA)

Conference name:
2nd International Conference on Advances in Energy and Environmental Science, ICAEES 2014

Conference date:
June 21, 2014 - June 22, 2014

Conference location:
Guangzhou, China

Conference code:
107137

Publisher:
Trans Tech Publications Ltd

Abstract:
n order to solve the problems of one-sidedness of current researches in classification of fly ash, degree of fineness, vitreous body, ignition loss, K2O, SO3 and CaO are chosen as the index properties to analyze projection pursuit classification method after analyzing chemical constituents and physical properties that influence the quality of fly ash. Targeting on the activity characteristics, the thesis establishes a projection pursuit cluster analysis model and makes a program on the basis of MATLAB. Population migration algorithm is adopted to seek an optimal projection direction. Fly ash is classified in accordance with property index value of the projection. Researches have proved that the model overcomes the shortcomings of traditional classification methods and reflects the quality and performance of fly ash in a comprehensive way. The evaluation is simple with accurate results and provides a scientific basis for the comprehensive utilization of fly ash. © (2014) Trans Tech Publications, Switzerland.

Number of references:
13

Main heading:
Fly ash

Controlled terms:
Algorithms  -  Chemical analysis  -  Cluster analysis  -  Concretes  -  MATLAB  -  Population dynamics

Uncontrolled terms:
Chemical constituents  -  Classification methods  -  Comprehensive utilizations  -  Population migration algorithms  -  Projection direction  -  Projection pursuit regression  -  Projection pursuits  -  Scientific basis

Classification code:
412 Concrete -  723 Computer Software, Data Handling and Applications -  801 Chemistry -  804 Chemical Products Generally -  921 Mathematics -  922 Statistical Methods -  971 Social Sciences
            DOI:  10.4028/www.scientific.net/AMR.1010-1012.900

Database:
Compendex
Compilation and indexing terms, © 2014 Elsevier Inc.