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

页码：70 / 76

页数：7

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