Locate the Bounding Box of Neural Networks with Intervals

被引：1
|
作者：
Anastasopoulos, Nikolaos [1 ]
Tsoulos, Ioannis G. [2 ]
Karvounis, Evangelos [2 ]
Tzallas, Alexandros [2 ]
机构：
[1] Univ Patras, Dept Elect & Comp Engn, Patras, Greece
[2] Univ Ioannina, Dept Informat & Telecommun, Ioannina, Greece
来源：
NEURAL PROCESSING LETTERS | 2020年 / 52卷 / 03期
关键词：
Neural networks; Genetic algorithms; Intervals; Optimization; OPTIMIZATION; MODEL;
D O I：
10.1007/s11063-020-10347-z
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel hybrid method is proposed for neural network training. The method consists of two phases: in the first phase the bounds for the neural network parameters are estimated using a genetic algorithm that uses intervals as chromosomes. In the second phase a genetic algorithm is used to train the neural network inside the bounding box located by the first phase. The proposed method is tested on a series of well-known datasets from the relevant literature and the results are reported.
引用
收藏
页码：2241 / 2251
页数：11
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