A Comparative Study on Artificial Neural Network, Phenomenological-Based Constitutive and Modified Fields–Backofen Models to Predict Flow Stress in Ti-4Al-3V-2Mo-2Fe Alloy

Flow Stress ◽

Comparative Study ◽

Comparative Study of Artificial Neural Network Based Channel Equalization Methods for MmWave Communications

IEEE Access ◽

10.1109/access.2021.3065337 ◽

2021 ◽

pp. 1-1

Author(s):

Diego Fernando Carrera ◽

Cesar Vargas-Rosales ◽

Noe M. Yungaicela-Naula ◽

Leyre Azpilicueta

Keyword(s):

Neural Network ◽

Comparative Study ◽

Channel Equalization ◽

Comparative study of response surface methodology and artificial neural network in the optimization of the ultrasound-assisted extraction of diarylheptanoid phytoestrogens from Curcuma comosa rhizomes

Chemical Engineering and Processing - Process Intensification ◽

10.1016/j.cep.2021.108461 ◽

2021 ◽

Vol 165 ◽

pp. 108461

Author(s):

Bancha Yingngam ◽

Abhiruj Navabhatra ◽

Wandee Rungseevijitprapa ◽

Chutinun Prasitpuriprecha ◽

Adelheid Brantner

Keyword(s):

Neural Network ◽

Response Surface Methodology ◽

Comparative Study ◽

Response Surface ◽

Ultrasound Assisted Extraction ◽

Curcuma Comosa ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

Improving Flood Forecasting in a Developing Country: A Comparative Study of Stepwise Multiple Linear Regression and Artificial Neural Network

Water Resources Management ◽

10.1007/s11269-014-0600-8 ◽

2014 ◽

Vol 28 (8) ◽

pp. 2109-2128 ◽

Cited By ~ 36

Author(s):

Zaw Zaw Latt ◽

Hartmut Wittenberg

Keyword(s):

Neural Network ◽

Linear Regression ◽

Comparative Study ◽

Multiple Linear Regression ◽

Developing Country ◽

Flood Forecasting ◽

Stepwise Multiple Linear Regression ◽

Prediction of flow stress in a wide temperature range involving phase transformation for as-cast Ti–6Al–2Zr–1Mo–1V alloy by artificial neural network

Materials & Design (1980-2015) ◽

10.1016/j.matdes.2013.02.033 ◽

2013 ◽

Vol 50 ◽

pp. 51-61 ◽

Cited By ~ 53

Author(s):

Guo-zheng Quan ◽

Wen-quan Lv ◽

Yuan-ping Mao ◽

Yan-wei Zhang ◽

Jie Zhou

Keyword(s):

Neural Network ◽

Phase Transformation ◽

Flow Stress ◽

Wide Temperature Range ◽

Temperature Range ◽

A Comparative Study on CPU Load Predictions in a Computational Grid using Artificial Neural Network Algorithms

Indian Journal of Science and Technology ◽

10.17485/ijst/2015/v8i35/82733 ◽

2015 ◽

Vol 8 (35) ◽

Cited By ~ 3

Author(s):

Shaik Naseera ◽

G. K. Rajini ◽

N. Amutha Prabha ◽

G. Abhishek

Keyword(s):

Neural Network ◽

Comparative Study ◽

Computational Grid ◽

Network Algorithms ◽

Development and Comparative Study of Effects of Training Algorithms on Performance of Artificial Neural Network Based Analog and Digital Automatic Modulation Recognition

Journal of Engineering Science and Technology Review ◽

10.25103/jestr.084.22 ◽

2015 ◽

Vol 8 (4) ◽

pp. 135-144 ◽

Cited By ~ 3

Author(s):

Jide Julius Popoola ◽

◽

Rex Van Olst ◽

Keyword(s):

Neural Network ◽

Comparative Study ◽

Training Algorithms ◽

Modulation Recognition ◽

Automatic Modulation Recognition ◽

TXT-tool 1.081-6.1 A Comparative Study of the Binary Logistic Regression (BLR) and Artificial Neural Network (ANN) Models for GIS-Based Spatial Predicting Landslides at a Regional Scale

Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools ◽

10.1007/978-3-319-57774-6_10 ◽

2017 ◽

pp. 139-151 ◽

Cited By ~ 13

Author(s):

Jie Dou ◽

Hiromitsu Yamagishi ◽

Zhongfan Zhu ◽

Ali P. Yunus ◽

Chi Wen Chen

Keyword(s):

Neural Network ◽

Logistic Regression ◽

Comparative Study ◽

Regional Scale ◽

Binary Logistic Regression ◽

Ann Models ◽

Artificial Neural ◽

Artificial Neural Network Ann

A comparative study of linear discriminant analysis and an artificial neural network performances in breast cancer diagnosis

2020 IEEE ANDESCON ◽

10.1109/andescon50619.2020.9272057 ◽

2020 ◽

Author(s):

Gabriela Barbosa Guedes Pereira ◽

Lucas Pereira Fernandes ◽

Jose Mauricio Ramos de Souza Neto ◽

Helon David de Macedo Braz ◽

Leandro da Silva Sauer

Keyword(s):

Breast Cancer ◽

Neural Network ◽

Discriminant Analysis ◽

Comparative Study ◽

Linear Discriminant Analysis ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis ◽

Linear Discriminant ◽

Key Engineering Materials - Progresses in Fracture and Strength of Materials and Structures ◽

Artificial Neural Network Models for Predicting Flow Stress and Microstructure Evolution of a Hydrogenized Titanium Alloy

10.4028/0-87849-456-1.541 ◽

2007 ◽

pp. 541-544

Author(s):

Qing Wang ◽

J. Lai ◽

Dong Li Sun

Keyword(s):

Neural Network ◽

Titanium Alloy ◽

Flow Stress ◽

Microstructure Evolution ◽

Network Models ◽

Neural Network Models ◽

Artificial Neural ◽

Artificial Neural Network Models

Estimation of perceptible water vapor of atmosphere using artificial neural network, support vector machine and multiple linear regression algorithm and their comparative study

10.1063/1.5033289 ◽

2018 ◽

Author(s):

Niket Shastri ◽

Kamlesh Pathak

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Water Vapor ◽

Linear Regression ◽

Comparative Study ◽

Multiple Linear Regression ◽

Support Vector ◽

Network Support ◽