相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Hydrogen production via biomass gasification, and modeling by supervised machine learning algorithms
Emine Elmaslar Ozbas et al.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2019)
Comparison of Machine Learning Techniques for the Prediction of Compressive Strength of Concrete
Palika Chopra et al.
ADVANCES IN CIVIL ENGINEERING (2018)
A Review of Machine Learning Applications in Veterinary Field
Pinar Cihan et al.
KAFKAS UNIVERSITESI VETERINER FAKULTESI DERGISI (2017)
Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete
Faezehossadat Khademi et al.
FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING (2017)
Non-Destructive Prediction of Concrete Compressive Strength Using Neural Networks
Adnan Khashman et al.
INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS 2017) (2017)
Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming
Palika Chopra et al.
ADVANCES IN MATERIALS SCIENCE AND ENGINEERING (2016)
Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks
Mehdi Nikoo et al.
ADVANCES IN MATERIALS SCIENCE AND ENGINEERING (2015)
Prediction of concrete compressive strength due to long term sulfate attack using neural network
Ahmed M. Diab et al.
ALEXANDRIA ENGINEERING JOURNAL (2014)
Root mean square error (RMSE) or mean absolute error (MAE)? - Arguments against avoiding RMSE in the literature
T. Chai et al.
GEOSCIENTIFIC MODEL DEVELOPMENT (2014)
Response surfaces for compressive strength of concrete
M. Timur Cihan et al.
CONSTRUCTION AND BUILDING MATERIALS (2013)
APPLICATION OF NEW INFORMATION TECHNOLOGY ON CONCRETE: AN OVERVIEW
Bakhta Boukhatem et al.
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT (2011)
Prediction of compressive strength of heavyweight concrete by ANN and FL models
C. Basyigit et al.
NEURAL COMPUTING & APPLICATIONS (2010)
Prediction of compressive strength of concretes containing metakaolin and silica fume by artificial neural networks
Mustafa Saridemir
ADVANCES IN ENGINEERING SOFTWARE (2009)
Neural networks for predicting compressive strength of structural light weight concrete
Marai M. Alshihri et al.
CONSTRUCTION AND BUILDING MATERIALS (2009)
Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic
Ilker Bekir Topcu et al.
COMPUTATIONAL MATERIALS SCIENCE (2008)
Appraisal of long-term effects of fly ash and silica fume on compressive strength of concrete by neural networks
Murat Pala et al.
CONSTRUCTION AND BUILDING MATERIALS (2007)
Predicting the compressive strength and slump of high strength concrete using neural network
Ahmet Oztas et al.
CONSTRUCTION AND BUILDING MATERIALS (2006)
Fuzzy logic model for the prediction of cement compressive strength
S Akkurt et al.
CEMENT AND CONCRETE RESEARCH (2004)
Prediction of compressive strength of concrete by neural networks
HG Ni et al.
CEMENT AND CONCRETE RESEARCH (2000)
分享论文
