Predicting the Tensile and Air Permeability Properties of Woven Fabrics Using Artificial Neural Network and Linear Regression Models

Journal of Textile Science & Engineering
doi 10.4172/2165-8064.1000209
Full Text
Abstract

Available in full text

Date
Authors
Publisher

OMICS Publishing Group

Related search

Predicting Road Traffic Accidents Using Artificial Neural Network Models

Infrastructure Asset Management
2018English

Spectroscopic Determination of Leaf Water Content Using Linear Regression and an Artificial Neural Network

African Journal of Biotechnology
2012English

Experimental Investigation on the Biaxial Tensile Properties of Plain Woven Fabrics

Journal of the Textile Machinery Society of Japan - Transactions -
1969English

Prediction of Carcass Meat Percentage in Young Pigs Using Linear Regression Models and Artificial Neural Networks

Annals of Animal Science
Animal ScienceZoologyFood AnimalsSmall Animals
2016English

Predicting the Permeability of Pervious Concrete Pavement Using Artificial Neural Networks Modeling

Scientific Research and Essays
2015English

Predicting S&P500 Index Using Artificial Neural Network

IFIP Advances in Information and Communication Technology
Computer NetworksInformation SystemsManagementCommunications
2016English

Using Multiple Linear Regression and Artificial Neural Network Techniques for Predicting CCR5 Binding Affinity of Substituted 1-(3, 3-Diphenylpropyl)-Piperidinyl Amides and Ureas

Open Journal of Medicinal Chemistry
2013English

Estimation of Reference Evapotranspiration Using Artificial Neural Network Models and the Hybrid Wavelet Neural Network

Journal of Water and Soil Science
2019English

Comparison of Logistic Regression and Artificial Neural Network Models in Breast Cancer Risk Estimation

Radiographics
MedicineNuclear MedicineRadiologyImaging
2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy