Using evolutionary computation to solve problems in nonparametric regression

Autor: Chen Yu-ping, Pan Zheng-jun, Ding Lixin, Kang Li-shan
Rok vydání: 1998
Předmět:
Zdroj: Wuhan University Journal of Natural Sciences. 3:27-31
ISSN: 1993-4998
1007-1202
DOI: 10.1007/bf02827507
Popis: This paper studies evolutionary mechanism of parameter selection in the construction of weight function for Nearest Neighbour Estimate in nonparametric regression. Construct an algorithm which adaptively evolves fine weight and makes good prediction about unknown points. The numerical experiments indicate that this method is effective. It is a meaningful discussion about practicability of nonparametric regression and methodology of adaptive model-building.
Databáze: OpenAIRE