Comparison of ANN and RKS approaches to model SCC strength
Author:
Publisher
IOP Publishing
Subject
General Medicine
Link
http://stacks.iop.org/1757-899X/310/i=1/a=012037/pdf
Reference34 articles.
1. Modelling the fresh properties of self-compacting concrete using support vector machine approach
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1. Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete;Advances in Materials Science and Engineering;2022-01-06
2. Predicting fresh and hardened properties of self-compacting concrete containing fly ash by artificial neural network model;MATEC Web of Conferences;2022
3. Comparative Study of Predicting the Marsh Cone Flow Time of Superplasticized Cement Paste Using Machine Learning Algorithms;Lecture Notes in Civil Engineering;2021-09-04
4. Modelling the Rheological Properties of Fly Ash Incorporated Superplasticized Cement Paste at Different Temperature Using Multilayer Perceptrons in Tensorflow;Lecture Notes in Civil Engineering;2020-11-21
5. Modeling the Fresh and Hardened Stage Properties of Self-Compacting Concrete using Random Kitchen Sink Algorithm;International Journal of Concrete Structures and Materials;2018-03-19
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