Locate the Bounding Box of Neural Networks with Intervals

被引：0
|
作者：
Nikolaos Anastasopoulos
Ioannis G. Tsoulos
Evangelos Karvounis
Alexandros Tzallas
机构：
[1] University of Patras,Department of Electrical and Computer Engineering
[2] University of Ioannina,Department of Informatics and Telecommunications
来源：
Neural Processing Letters | 2020年 / 52卷
关键词：
Neural networks; Genetic algorithms; Intervals; Optimization;
D O I：
暂无
中图分类号：
学科分类号：
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：10
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