Analysis of defectoscopy data to be used by neural classifier

被引：0
|
作者：
Grman, J [1 ]
Ravas, R [1 ]
Syrova, L [1 ]
机构：
[1] Slovak Univ Technol Bratislava, Dept Measurement, Bratislava 81219, Slovakia
来源：
ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS | 2001年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
At present a very perspective solution of indications classification in defectoscopy is neural network application. One of the fields is classification of indications into classes that are. characterized by the signal shape, or by the signatures relating to the signal shape. Nondestructive defectoscopy of steam generator tubes of nuclear power plants by multifrequency eddy current method is the field in which the use of classifiers based on neural network architecture is very perspective. The contribution concentrates on the choice of a suitable representation of indications for neural classifier represented by probabilistic neural network. Selected representations are compared using real records of steam generator tubes and also using artificial defects and imitations of construction elements.
引用
收藏
页码：193 / 196
页数：4
相关论文
共 50 条
  • [31] NEW BAYESIAN SIMPLE CLASSIFIER FOR EDUCATIONAL DATA ANALYSIS
    Oviedo Bayas, Byron
    Zambrano-Vega, Cristian
    REVISTA UNIVERSIDAD Y SOCIEDAD, 2019, 11 (02): : 278 - 285
  • [32] Enhancement of Convolutional Neural Networks Classifier Performance in the Classification of IoT Big Data
    Eloanyi Samson Amaechi
    Hai Van Pham
    ICMLSC 2020: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND SOFT COMPUTING, 2020, : 25 - 29
  • [33] A robust neural network classifier for infrasound events using multiple array data
    Ham, FM
    Park, SJ
    PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3, 2002, : 2615 - 2619
  • [34] Dimensionality reduction of medical big data using neural-fuzzy classifier
    Azar, Ahmad Taher
    Hassanien, Aboul Ella
    SOFT COMPUTING, 2015, 19 (04) : 1115 - 1127
  • [35] Dimensionality reduction of medical big data using neural-fuzzy classifier
    Ahmad Taher Azar
    Aboul Ella Hassanien
    Soft Computing, 2015, 19 : 1115 - 1127
  • [36] Handwritten hiragana classifier with minimal training data utilizing Convolutional Neural Networks
    Chouza, Adrian
    Hernandez, Raul
    Jimenez, Jose
    Orozco-Rosas, Ulises
    Picos, Kenia
    OPTICS AND PHOTONICS FOR INFORMATION PROCESSING XIII, 2019, 11136
  • [37] Recognition and detection of occluded faces by a neural network classifier with recursive data reconstruction
    Kurita, T
    Pic, M
    Takahashi, T
    IEEE CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE, PROCEEDINGS, 2003, : 53 - 58
  • [38] Detecting Masses in Digital Mammograms Based on Texture Analysis and Neural Classifier
    Lin, Guo-Shiang
    Chang, Yu-Cheng
    Yeh, Wei-Cheng
    Liu, Kai-Che
    Yeh, Chia-Hung
    THIRD INTERNATIONAL CONFERENCE ON INFORMATION SECURITY AND INTELLIGENT CONTROL (ISIC 2012), 2012, : 222 - 225
  • [39] Vibrational analysis using neural network classifier for motor fault detection
    Su, H
    Kim, YC
    Lee, Y
    Chong, KT
    ICMIT 2005: CONTROL SYSTEMS AND ROBOTICS, PTS 1 AND 2, 2005, 6042
  • [40] Swarm bias-variance analysis of an evolutionary neural network classifier
    Miguelanez, E
    Zalzala, AMS
    PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND APPLICATIONS, 2006, : 256 - +
12345