Comparative Analysis of the Classical and Nonclassical Artificial Neural Networks

被引：0
|
作者：
Lisitsa, Daria [1 ]
Zhilenkov, Anton A. [1 ]
机构：
[1] St Petersburg Natl Res Univ Informat Technol Mech, Dept Control Syst & Informat, Fac Control Syst & Robot, St Petersburg, Russia
来源：
PROCEEDINGS OF THE 2017 IEEE RUSSIA SECTION YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING CONFERENCE (2017 ELCONRUS) | 2017年
关键词：
Neural networks; comparison analysis; spiking neutral networks; artificial neutral networks; NEURONS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A lot of artifiicial neural networks were proposed by scientists over the last time. Each of them can cope with the tasks of limited difficulty level, determined by their properties and capabilities. The aim of this paper is to outline difference of them and to define their positive and negative sites in different tasks of identification and control.
引用
收藏
页码：922 / 925
页数：4
相关论文
共 50 条
  • [31] Wiometrics: Comparative Performance of Artificial Neural Networks for Wireless Navigation
    Whiton, Russ
    Chen, Junshi
    Tufvesson, Fredrik
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (09) : 13883 - 13897
  • [32] Artificial neural networks for molecular sequence analysis
    Wu, CH
    COMPUTERS & CHEMISTRY, 1997, 21 (04): : 237 - 256
  • [33] The use of artificial neural networks for data analysis
    Gavrilov, AV
    Kangler, VM
    KORUS '99: THIRD RUSSIAN-KOREAN INTERNATIONAL SYMPOSIUM ON SCIENCE AND TECHNOLOGY, VOLS 1 AND 2, 1999, : 257 - 260
  • [34] Application of Artificial Neural Networks to stylometric analysis
    Stanczyk, Urszula
    Cyran, Krzysztof A.
    PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON SYSTEMS THEORY AND SCIENTIFIC COMPUTATION (ISTAC'08): NEW ASPECTS OF SYSTEMS THEORY AND SCIENTIFIC COMPUTATION, 2008, : 25 - 30
  • [35] Artificial neural networks for document analysis and recognition
    Marinai, S
    Gori, M
    Soda, G
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2005, 27 (01) : 23 - 35
  • [36] Taxonomic Analysis of Asteroids with Artificial Neural Networks
    Luo, Nanping
    Wang, Xiaobin
    Gu, Shenghong
    Penttilae, Antti
    Muinonen, Karri
    Liu, Yisi
    ASTRONOMICAL JOURNAL, 2024, 167 (01):
  • [37] Quantitative multivariate analysis with artificial neural networks
    Lin, CW
    Hsiao, TC
    Zeng, MT
    Chiang, HH
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON BIOELECTROMAGNETISM, 1998, : 59 - 60
  • [38] RELIABILITY-ANALYSIS OF ARTIFICIAL NEURAL NETWORKS
    DUGAN, JB
    WATTERSON, JW
    PROCEEDINGS ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 1991, (SYM): : 598 - 603
  • [39] Visual sensitivity analysis for artificial neural networks
    Theron, Roberto
    De Paz, Juan Francisco
    INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2006, PROCEEDINGS, 2006, 4224 : 191 - 198
  • [40] Analysis of missing data with artificial neural networks
    Pastor, JBN
    Vidal, JML
    PSICOTHEMA, 2000, 12 (03) : 503 - 510
12345