Supervised learning Laplace transform artificial neural networks and using it for automatic classification of geological structure

被引：8
|
作者：
Szymczyk, P. [1 ]
Szymczyk, M. [1 ]
机构：
[1] AGH Univ Sci & Technol, Fac Elect Engn Automat Comp Sci & Biomed Engn, Dept Automat & Biomed Engn, PL-30059 Krakow, Poland
来源：
NEUROCOMPUTING | 2015年 / 154卷
关键词：
Laplace transform artificial neural network (LTANN); Supervised learning; GPR;
D O I：
10.1016/j.neucom.2014.12.018
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a method of learning novel Laplace transform artificial neural network (LTANN) and shows examples of network learning. It also contains a description of the use of the LTANN for searching anomalies in geological structures (loosened zone of river embankments). (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码：70 / 76
页数：7
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