Use of a Kohonen self-organizing map to classify career clients on the basis of aptitudes

被引：2

作者：

Carson, AD ^{[1
]}

机构：

[1] Ball Fdn, Glen Ellyn, IL 60137 USA

来源：

JOURNAL OF CAREER ASSESSMENT | 1999年 / 7卷 / 04期

关键词：

artificial neural network; personality traits; aptitude; interests;

D O I：

10.1177/106907279900700403

中图分类号：

B849 [应用心理学];

学科分类号：

040203 ;

摘要：

A Kohonen self-organizing map--a type of artificial neural network similar to K-means cluster analysis and multidimensional scaling-was used to classify clients into eight categories on the basis of objectively measured aptitudes. The resulting categories bear strong resemblances to major vocational typologies of persons and jobs, especially models proposed by Holland, Gottfredson, Ackerman, and Prediger. Applications of self-organizing neural networks are suggested for psychological assessment in general and career assessment in particular.

引用

收藏

页码：357 / 380

页数：24

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