Using Evolutionary Computation to Solve Problems in Nonparametric Regression

摘要

This paper studies evolutionary mechanism of parameter selection in the construction of weightfunction for Nearest Neighbour Estimate in nonparametrlc regresslon. Construct an algorithm which adagetively evolves fine weight and makes good prediction about unknown points. The numerical experiments indicate that this method is errective. It is a meaningful discussion about practicability of nonparametric regression and methodology or adaptive model-building.