The Application of the Projection Pursuit Model of the Particle Swarm Algorithm on the Investment Decision

Article Preview

Abstract:

In order to make a good decision in the projection investment, and the application of the projection pursuit model of particle swarm algorithm on the investment decision was studied in depth. Firstly, the development of the projection pursuit model of particle swarm algorithm was introduced, and then the brief introduction of PP and the step of constructing the PPC model were introduced. The basic theory and calculating procession of particle swarm algorithm was analyzed. And then the projection investment decision model was established. Finally a case study was carried out and the results showed that this method was simple and effective.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 474-476)

Pages:

725-728

Citation:

Online since:

April 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Li L, Cao D Y: Commercial modernization, (2008), No. 5, pp.254-255.

Google Scholar

[2] J. Kennedy, R.C. Eberhart: Proceeding IEEE International Conference on Neural Networks. (1995): p.1942-(1948).

Google Scholar

[3] Zhang R X. Journal of heilongjiang engineering college, Vol. 18(2008), No. 4, pp.34-37.

Google Scholar

[4] Yang W, Li Q Q: Chinese engineering science, Vol. 6(2004), No. 5, pp.87-90.

Google Scholar