[1] A. Berro, S.L. Marie-Sainte and A. Ruiz-Gazen, Genetic algorithms and particle swarm optimization for exploratory projection pursuit, Ann. Math. Artif. Intell. 60 (2010), no. 1, 153–178.
[2] J.H. Friedman and W. Stuetzle, Projection pursuit regression, J. Amer. Statist. Assoc. 76 (1981), 817–823.
[3] J.H. Friedman and J. W. Tukey, A projection pursuit algorithm for exploratory data analysis, IEEE Trans. Comput. 23 (1974), 881–889.
[4] Q. Jiang, Q. Fu and Z. Wang, Comprehensive evaluation of regional land resources carrying capacity based on projection pursuit model optimized by particle swarm optimization, Trans. Chinese Soc. Agric. Engin. 27 (2011), no. 11, 319–324.
[5] Z. Li, X. Deng and Y. Xin, Model for drought and flood trend prediction using projection pursuit regression, J. Natural Disasters 6 (1997), no. 4, 68–73.
[6] Z. Li, The PPR model for pollutant concentration prediction, Environ. Sci. 18 (1997), no. 4, 38–40.
[7] J. Li and Q. Chen, The construction of a continuously changeable base of n2demensional space and projection pursuit, J. Guizhou Instit. Technol. 25 (1996), no. 6, 24–28.
[8] F. Marini and B. Walczak, Particle swarm optimization (PSO), Tutor. Chemomet. Intell. Lab. Syst. 149 (2015), 153–165.
[9] A. Ruiz-Gazen, S. L. Marie-Sainte and A. Berro, Detecting multivariate outliers using projection pursuit with particle swarm optimization, Proc. COMPSTAT, 2010 (2010), 89–98.