Artificial neural networks in problems of material objects implementation. Part 2. Design and application specifics

被引：0
|
作者：
Adamenko, V [1 ]
Mirskykh, G. [1 ]
机构：
[1] Natl Tech Univ Ukraine, Kyiv Polytech Inst, Kiev, Ukraine
来源：
VISNYK NTUU KPI SERIIA-RADIOTEKHNIKA RADIOAPARATOBUDUVANNIA | 2012年 / 48期
关键词：
artificial neural network; paradigms and rules of learning; approximation functions; neural networks ensembles;
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：
In this work paradigms and rules of neural networks learning are considered in a generalized form and the relationship between them are analyzed. The major tasks which can be solved by means of neural networks are analyzed. The main problem of using neural networks in problems of material objects implementation are defined in need of further theoretical research. The expediency of usage neural networks ensembles are substantiated with the followed by their transformation under specific applied design problems.
引用
收藏
页码：213 / 221
页数：9
相关论文
共 50 条
  • [41] Application of artificial neural network in catalyst design Part II. Experimental illustration
    Zhejiang Univ, Hangzhou, China
    Shiyou Huagong, 11 (743-749):
  • [42] DICOM structured reporting - Part 2. Problems and challenges in implementation for PACS workstations
    Hussein, R
    Engelmann, U
    Schroeter, A
    Meinzer, HP
    RADIOGRAPHICS, 2004, 24 (03) : 897 - 909
  • [43] Design and Implementation of a Prosthesis System Controlled by Electromyographic Signals Means, Characterized with Artificial Neural Networks
    Tinoco-Varela, David
    Amado Ferrer-Varela, Jose
    Dali Cruz-Morales, Raul
    Axel Padilla-Garcia, Erick
    MICROMACHINES, 2022, 13 (10)
  • [44] Design and implementation of a self-tuning control using artificial neural networks of second order
    Ibarra-Manzano, Mario A.
    Almanza-Ojeda, Dora L.
    Hernandez-Gutierrez, Andres
    Amezquita-Sanchez, Juan P.
    Lopez-Martinez, Luis F.
    MEP 2006: PROCEEDINGS OF MULTICONFERENCE ON ELECTRONICS AND PHOTONICS, 2006, : 226 - +
  • [45] Application of artificial neural networks for modeling of electronic excitation dynamics in 2D lattice: Direct and inverse problems
    Juknevicius, Pranas
    Chmeliov, Jevgenij
    Valkunas, Leonas
    Gelzinis, Andrius
    AIP ADVANCES, 2023, 13 (03)
  • [46] Application of artificial neural networks and genetic algorithm in optimization of concrete shear wall design
    Li, Li
    INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2024, 18 (07): : 4775 - 4785
  • [47] Artificial Neural Networks Parameters Optimization with Design of Experiments: An Application in Ferromagnetic Materials Modeling
    Laosiritaworn, Wimalin
    Chotchaithanakorn, Nantakarn
    CHIANG MAI JOURNAL OF SCIENCE, 2009, 36 (01): : 83 - 91
  • [48] Application of artificial neural networks to the design of subsurface drainage systems in Libyan agricultural projects
    Ellafi, Murad A.
    Deeks, Lynda K.
    Simmons, Robert W.
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2021, 35
  • [49] ON THE APPLICATION AND DESIGN OF ARTIFICIAL NEURAL NETWORKS FOR MOTOR FAULT-DETECTION .1.
    CHOW, MY
    SHARPE, RN
    HUNG, JC
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 1993, 40 (02) : 181 - 188
  • [50] Application of design reuse to artificial neural networks: case study of the back propagation algorithm
    N. Izeboudjen
    A. Bouridane
    A. Farah
    H. Bessalah
    Neural Computing and Applications, 2012, 21 : 1531 - 1544
12345