Open Journal of Civil Engineering

Open Journal of Civil Engineering

ISSN Print: 2164-3164
ISSN Online: 2164-3172
www.scirp.org/journal/ojce
E-mail: ojce@scirp.org
"Application of Artificial Neural Network for Analysis of Triangular Plate with Hole Considering Different Geometrical and Loading Parameters"
written by Saket Rusia, Krishna Kant Pathak,
published by Open Journal of Civil Engineering, Vol.6 No.1, 2016
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Finite Element Method-Based Artificial Neural Network
ICT Analysis and Applications, 2022
[2] Determination of the parameters of two-beam laser splitting of silicate glasses using regression and neural network models
2022
[3] Определение параметров двухлучевого лазерного раскалывания силикатных стекол с использованием регрессионных и нейросетевых моделей
Журнал Белорусского …, 2022
[4] Применение метода конечных элементов и искусственных нейронных сетей для определения параметров лазерной обработки стали 12Х18Н9Т
2022
[5] Применение искусственных нейронных сетей и метода конечных элементов для определения параметров обработки кварцевых золь-гель стекол …
… физики, математики и …, 2021
[6] Определение параметров лазерной обработки кварцевых золь-гель стекол с помощью сочетания метода конечных элементов и искусственных нейронных …
2021
[7] Development of professional competencies for artificial intelligence in finite element analysis
2020
[8] ESTIMATION OF STRESS INTENSITY FACTORS FOR CRACKED FINITE PLATES USING A HYBRID MODEL OF ARTIFICIAL NEURAL NETWORK AND FINITE …
2019
[9] Surrogate Model Based Optimization for Chevron Foil Thrust Bearing
2019
[10] ITERATIVE ANALYSIS OF DISTORTED RECTANGULAR PLATE
2017
[11] Application of Artificial Neural Network to Analyze Hexagonal Plate with Hole Considering Different Geometrical and Loading Parameters
2016
[12] ПРОБЛЕМЫ ФИЗИКИ, МАТЕМАТИКИ И ТЕХНИКИ
Free SCIRP Newsletters
Copyright © 2006-2024 Scientific Research Publishing Inc. All Rights Reserved.
Top