Developing Postfix-GP Framework for Symbolic Regression Problems

Autor:	Dabhi, Vipul K., Chaudhary, Sanjay
Rok vydání:	2015
Předmět:	Computer Science - Neural and Evolutionary Computing
Druh dokumentu:	Working Paper
DOI:	10.1109/ACCT.2015.114
Popis:	This paper describes Postfix-GP system, postfix notation based Genetic Programming (GP), for solving symbolic regression problems. It presents an object-oriented architecture of Postfix-GP framework. It assists the user in understanding of the implementation details of various components of Postfix-GP. Postfix-GP provides graphical user interface which allows user to configure the experiment, to visualize evolved solutions, to analyze GP run, and to perform out-of-sample predictions. The use of Postfix-GP is demonstrated by solving the benchmark symbolic regression problem. Finally, features of Postfix-GP framework are compared with that of other GP systems. Comment: 8 pages, 6 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1507.01687 Zobrazit plný text záznamu View this record from Arxiv