Please use this identifier to cite or link to this item:
|Title:||Introducing knowledge into learning based on genetic programming|
Units of measurement
|Source:||Babovic, V. (2009-07). Introducing knowledge into learning based on genetic programming. Journal of Hydroinformatics 11 (3-4) : 181-193. ScholarBank@NUS Repository. https://doi.org/10.2166/hydro.2009.041|
|Abstract:||This work examines various methods for creating empirical equations on the basis of data while taking advantage of knowledge about the problem domain. It is demonstrated that the use of high level concepts aid in evolving equations that are easier to interpret by domain specialists. The application of the approach to real-world problems reveals that the utilization of such concepts results in equations with performance equal or superior to that of human experts. Finally, it is argued that the algorithm is best used as a hypothesis generator assisting scientists in the discovery process. © IWA Publishing 2009.|
|Source Title:||Journal of Hydroinformatics|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 15, 2018
WEB OF SCIENCETM
checked on Feb 7, 2018
checked on Feb 20, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.