Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6863215 | Neural Networks | 2016 | 13 Pages |
Abstract
The smart sampling and incremental function learning techniques can be easily used in practical applications and scale well in the case of extremely large data. The feasibility and good results of the proposed techniques are demonstrated using benchmark functions as well as functions from real-world problems.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Diego G. Loyola R, Mattia Pedergnana, Sebastián Gimeno GarcÃa,