Performance Comparison of SVM and ANN in Predicting Compressive Strength of Concrete

IOSR Journal of Computer Engineering
doi 10.9790/0661-16518894
Full Text
Abstract

Available in full text

Date
Authors
Publisher

IOSR Journals

Related search

Prediction of Compressive Strength of Plain Concrete Confined With Ferrocement Using Artificial Neural Network (ANN) and Comparison With Existing Mathematical Models

American Journal of Civil Engineering and Architecture
2013English

Factors Influencing Compressive Strength of Geopolymer Concrete

International Journal of Research in Engineering and Technology
2013English

Compressive Strength of Autoclaved Aerated Concrete Blockwork

Journal of Applied Sciences
2001English

Compressive Strength and Workability of Laterized Quarry Sand Concrete

Nigerian Journal of Technology
2018English

2078) Ultimate Strength for Variation in the Concrete of Compressive Strength(Structure)

Transactions of the Architectural Institute of Japan
1961English

Identification of Bacteria and the Effect on Compressive Strength of Concrete

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2016English

Influence of Conveyance Vibration on Compressive Strength of Specimen of High Strength Concrete

Journal of Structural and Construction Engineering
BuildingConstructionArchitecture
2013English

Various Testing Conditions Affecting Measured Compressive Strength of Concrete

Concrete Journal
1997English

Predicting Compressive Strength of Recycled Concrete for Construction 3D Printing Based on Statistical Analysis of Various Neural Networks

Journal of Building Construction and Planning Research
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy