Neural Network Classification Algorithm for the Small Size Training Set Situation in the Task of Thin-Walled Constructions Fatigue Destruction Control

Autor:	A. S. Katsin, Svetlana V. Korobkova, Lev S. Kuravsky, Alexander I. Galushkin
Rok vydání:	2004
Předmět:	Set (abstract data type) Artificial neural network Computer science Range (statistics) Sample (statistics) State (computer science) Algorithm Structural acoustics Fault detection and isolation Task (project management)
Zdroj:	Neural Information Processing ISBN: 9783540239314 ICONIP
DOI:	10.1007/978-3-540-30499-9_199
Popis:	High level loads in the acoustic frequency range are the reason for the aviation constructions’ elements fatigue destruction and death of the airborne equipment. Acoustic loads have most influence on the thin-walled elements of the aircraft construction. In this work we define the task of fault detection and present the method for solving this problem. Also we present the experiment results of the vibroacoustic system state detection using neural network method for the small size sample set situation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9475b7145c6114d48b8ad2ddff1bb473 https://doi.org/10.1007/978-3-540-30499-9_199 Zobrazit plný text záznamu