NNC: A tool based on Grammatical Evolution for data classification and differential equation solving

被引：4
|
作者：
Tsoulos, Ioannis G. [1 ]
Tzallas, Alexandros [1 ]
Tsalikakis, Dimitris [2 ]
机构：
[1] Univ Ioannina, Dept Informat & Telecommun, Arta 47100, Greece
[2] Univ Western Macedonia, Dept Engn Informat & Telecommun, Kozani, Greece
来源：
SOFTWAREX | 2019年 / 10卷
关键词：
Genetic algorithm; Neural networks; Grammatical evolution; Stochastic methods; NEURAL-NETWORK; OPTIMIZATION;
D O I：
10.1016/j.softx.2019.100297
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
A genetic programming tool is demonstrated for data classification and differential equation solving. The fundamental element of the method is the well-known technique of Grammatical Evolution. The method constructs artificial neural networks in a C - like programming language in order to learn the input data. The paper presents the programming tool NNC (Neural Network Constructor) as long as a series of experiments. (C) 2019 The Authors. Published by Elsevier B.V.
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收藏
页数：4
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