NDLI: The improvement of Projection Pursuit Classification model and the application in evaluating water resources carrying capacity

Content Provider	IEEE Xplore Digital Library
Author	Zhao Xiaoyong Cui Guangbai
Copyright Year	2012
Description	Author affiliation: College of Hydrology and Water Resources, Hohai University Nanjing, Jiangsu, China (Zhao Xiaoyong) \|\| College of Hydrology and Water Resources, Hohai University Nanjing, Jiangsu, 210098, China (Cui Guangbai)
Abstract	In view of the uncertainty of indexes for evaluating water resources carrying capacity, to resolve the incompatibility of the results of evaluating water resources carrying capacity, and to raise the distinguishment of the model of evaluating water resources carrying capacity, an effective and general model-Projection Pursuit Classification model is suggested. The density window breadth R is the window way radius that solves the partial density, it is determined by the characteristic of the sample datum, and it is mainly determined by trying to calculate or experience, which lacks theoretical basis, this article improves the density window breadth R of the model in theory, it deduces and acquires the empirical formula of calculation, making the model more scientific and stable. It adopts Real Coding based on Accelerating Genetic Algorithm to find the best projective direction, at the same time, uses the datum of the best projective direction to research the level of the influence of each factor to water resources carrying capacity, the classification results which accord with the fact are gained, which provide the decision proof of water resources carrying capacity.
Starting Page	733
Ending Page	737
File Size	99112
Page Count	5
File Format	PDF
ISBN	9781467322058
e-ISBN	9781467322072
DOI	10.1109/ISRA.2012.6219295
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-03
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real Coding based on Accelerating Genetic Algorithm Water resources carrying capacity Evaluate Projection pursuit Entropy Rivers Indexes Mathematical model Water resources Standards Equations
Content Type	Text
Resource Type	Article

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