Prediction of HFRC compressive strength using HS-based SIRMs connected fuzzy inference system-Reference-Cited by-同舟云学术

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Prediction of HFRC compressive strength using HS-based SIRMs connected fuzzy inference system

Published:2022-12 Issue: Volume:128 Page:103275
ISSN:1474-7065
Container-title:Physics and Chemistry of the Earth, Parts A/B/C
language:en
Short-container-title:Physics and Chemistry of the Earth, Parts A/B/C

Author:

Chiew F.H.,Petrus C.,Nyuin J.D.,Lau U.H.,Ng C.K.

Publisher

Elsevier BV

Subject

Geochemistry and Petrology,Geophysics

Reference53 articles.

1. Mechanical properties of hybrid fibre-reinforced concrete–analytical modelling and experimental behaviour;Abadel;Mag. Concr. Res.,2016

2. Using an artificial neural network to predict mix compositions of steel fiber-reinforced concrete;Açikgenç;Arabian J. Sci. Eng.,2015

3. An optimized instance based learning algorithm for estimation of compressive strength of concrete;Ahmadi-Nedushan;Eng. Appl. Artif. Intell.,2012

4. Predicting the compressive strength of steel fiber added lightweight concrete using neural network;Altun;Comput. Mater. Sci.,2008

5. Prediction of compressive strength and ultrasonic pulse velocity of fiber reinforced concrete incorporating nano silica using heuristic regression methods;Ashrafian;Construct. Build. Mater.,2018

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1. Residual deep fuzzy system with randomized fuzzy modules for accurate time series forecasting;Neural Computing and Applications;2024-04-19

2. Residual Deep Fuzzy System with Randomized Fuzzy Modules for Accurate Time Series Forecasting;2023

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