Data Analysis Using G/Splines
暂无分享,去创建一个
G/SPLINES is an algorithm for building functional models of data. It uses genetic search to discover combinations of basis functions which are then used to build a least-squares regression model. Because it produces a population of models which evolve over time rather than a single model, it allows analysis not possible with other regression-based approaches.
[1] David Rogers,et al. G/SPLINES: A Hybrid of Friedman's Multivariate Adaptive Regression Splines (MARS) Algorithm with Holland's Genetic Algorithm , 1991, ICGA.
[2] J. Freidman,et al. Multivariate adaptive regression splines , 1991 .