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。Shear strength of SFRCB without stirrups simulation: implementation of hybrid artificial intelligence model
Abeer A. Al-Musawi et al.
ENGINEERING WITH COMPUTERS (2020)
Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer
Emadaldin Mohammadi Golafshani et al.
CONSTRUCTION AND BUILDING MATERIALS (2020)
Compressive strength of Foamed Cellular Lightweight Concrete simulation: New development of hybrid artificial intelligence model
Ali Ashrafian et al.
CONSTRUCTION AND BUILDING MATERIALS (2020)
Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes
Maryam Safa et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2020)
Evaluating the use of recycled concrete aggregate and pozzolanic additives in fiber-reinforced pervious concrete with industrial and recycled fibers
Ali Toghroli et al.
CONSTRUCTION AND BUILDING MATERIALS (2020)
被撤回的出版物: Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique (Retracted article. See vol. 31, pg. 267, 2020)
I. Mansouri et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2019)
Development of a novel soft-computing framework for the simulation aims: a case study
Wei Gao et al.
ENGINEERING WITH COMPUTERS (2019)
ARTMe: a new array-based algorithm for Adaptive Refinement of Triangle Meshes
Jeferson Coelho et al.
ENGINEERING WITH COMPUTERS (2019)
Modeling the compressive strength of high-strength concrete: An extreme learning approach
Abobakr Khalil Al-Shamiri et al.
CONSTRUCTION AND BUILDING MATERIALS (2019)
Potential of adaptive neuro-fuzzy methodology for investigation of heat transfer enhancement of a minichannel heat sink
Srdjan Jovic et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)
Learned Prediction of Compressive Strength of GGBFS Concrete Using Hybrid Artificial Neural Network Models
In-Ji Han et al.
MATERIALS (2019)
Analysing of exchange rate and gross domestic product (GDP) by adaptive neuro fuzzy inference system (ANFIS)
Srdjan Jovic et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)
Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete
Mahdi Shariati et al.
APPLIED SCIENCES-BASEL (2019)
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model
Zaher Mundher Yaseen et al.
ADVANCES IN ENGINEERING SOFTWARE (2018)
Compressive strength prediction of environmentally friendly concrete using artificial neural networks
Hosein Naderpour et al.
JOURNAL OF BUILDING ENGINEERING (2018)
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)
A study of soft computing models for prediction of longitudinal wave velocity
Jayraj Singh et al.
ARABIAN JOURNAL OF GEOSCIENCES (2016)
Utilization and efficiency of ground granulated blast furnace slag on concrete properties - A review
Erdogan Ozbay et al.
CONSTRUCTION AND BUILDING MATERIALS (2016)
A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure
Maryam Amiri et al.
ENGINEERING WITH COMPUTERS (2016)
Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength
M. Safa et al.
STEEL AND COMPOSITE STRUCTURES (2016)
Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming
Palika Chopra et al.
ADVANCES IN MATERIALS SCIENCE AND ENGINEERING (2016)
Valorization of co-combustion fly ash in concrete production
Flora Faleschini et al.
MATERIALS & DESIGN (2015)
Grey Wolf Optimizer
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2014)
Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission
Dalibor Petkovic et al.
ENERGY (2014)
An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups
Mohammad Mohammadhassani et al.
SMART STRUCTURES AND SYSTEMS (2014)
Prediction of shear capacity of channel shear connectors using the ANFIS model
Ali Toghroli et al.
STEEL AND COMPOSITE STRUCTURES (2014)
Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams
Mohammad Mohammadhassani et al.
STRUCTURAL ENGINEERING AND MECHANICS (2013)
Physico-chemical and mechanical characteristics of pozzolanic cement pastes and mortars hydrated at different curing temperatures
M. A. Abd-El Aziz et al.
CONSTRUCTION AND BUILDING MATERIALS (2012)
Adaptive neuro-fuzzy estimation of conductive silicone rubber mechanical properties
Dalibor Petkovic et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Investigation of durability properties of concrete pipes incorporating blast furnace slag and ground basaltic pumice as fine aggregates
H. Binici et al.
SCIENTIA IRANICA (2012)
Wolf-pack (Canis lupus) hunting strategies emerge from simple rules in computational simulations
C. Muro et al.
BEHAVIOURAL PROCESSES (2011)
Efficiency of granulated blast furnace slag replacement of cement according to the equivalent binder concept
Abdelkader Bougara et al.
CEMENT & CONCRETE COMPOSITES (2010)
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 SCC and HPC with high volume fly ash using ANN
B. K. Raghu Prasad et al.
CONSTRUCTION AND BUILDING MATERIALS (2009)
Application of adaptive neuro-fuzzy inference system for solubility prediction of carbon dioxide in polymers
Aboozar Khajeh et al.
EXPERT SYSTEMS WITH APPLICATIONS (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)
Improving the performance of ternary blended cements by mixing different types of fly ashes
S. K. Antiohos et al.
CEMENT AND CONCRETE RESEARCH (2007)
Extreme learning machine: Theory and applications
Guang-Bin Huang et al.
NEUROCOMPUTING (2006)
Predicting the compressive strength and slump of high strength concrete using neural network
Ahmet Oztas et al.
CONSTRUCTION AND BUILDING MATERIALS (2006)
Analysis of strength of concrete using design of experiments and neural networks
I-Cheng Yeh
JOURNAL OF MATERIALS IN CIVIL ENGINEERING (2006)
Properties of concrete incorporating fly ash and ground granulated blast-furnace slag
GY Li et al.
CEMENT & CONCRETE COMPOSITES (2003)
Learning capability and storage capacity of two-hidden-layer feedforward networks
GB Huang
IEEE TRANSACTIONS ON NEURAL NETWORKS (2003)
分享论文
