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。Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm
Jian Zhou et al.
ENGINEERING WITH COMPUTERS (2020)
Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach
Chongchong Qi et al.
CHEMOSPHERE (2020)
Self-compacting concrete strength prediction using surrogate models
Panagiotis G. Asteris et al.
NEURAL COMPUTING & APPLICATIONS (2019)
A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil
Binh Thai Pham et al.
CATENA (2019)
Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete
Dong Van Dao et al.
MATERIALS (2019)
Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling
Vu Viet Nguyen et al.
FORESTS (2019)
Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
Abolfazl Jaafari et al.
CATENA (2019)
Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression
Lu Minh Le et al.
MATERIALS (2019)
Prediction and Sensitivity Analysis of Bubble Dissolution Time in 3D Selective Laser Sintering Using Ensemble Decision Trees
Hai-Bang Ly et al.
MATERIALS (2019)
Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches
Dong Van Dao et al.
APPLIED SCIENCES-BASEL (2019)
Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models
Hui Chen et al.
APPLIED SCIENCES-BASEL (2019)
Determination of compound channel apparent shear stress: application of novel data mining models
Zohreh Sheikh Khozani et al.
JOURNAL OF HYDROINFORMATICS (2019)
Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials
Hai-Bang Ly et al.
MATERIALS (2019)
Prediction of Surface Treatment Effects on the Tribological Performance of Tool Steels Using Artificial Neural Networks
Liborio Cavaleri et al.
APPLIED SCIENCES-BASEL (2019)
Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections
Hai-Bang Ly et al.
APPLIED SCIENCES-BASEL (2019)
Buckling optimization of variable stiffness cylindrical shells through artificial intelligence techniques
Stefano Francesco Pitton et al.
COMPOSITE STRUCTURES (2019)
Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping
Seyed Vahid Razavi Termeh et al.
HYDROGEOLOGY JOURNAL (2019)
Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis
Binh Thai Pham et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Development of Hybrid Artificial Intelligence Approaches and a Support Vector Machine Algorithm for Predicting the Marshall Parameters of Stone Matrix Asphalt
Hoang-Long Nguyen et al.
APPLIED SCIENCES-BASEL (2019)
Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete
Hai-Bang Ly et al.
APPLIED SCIENCES-BASEL (2019)
Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data
Hai-Bang Ly et al.
SENSORS (2019)
Adaptive Network Based Fuzzy Inference System with Meta-Heuristic Optimizations for International Roughness Index Prediction
Hoang-Long Nguyen et al.
APPLIED SCIENCES-BASEL (2019)
Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq
Khabat Khosravi et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures
Panagiotis G. Asteris et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Cemented paste backfill for mineral tailings management: Review and future perspectives
Chongchong Qi et al.
MINERALS ENGINEERING (2019)
Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability
Abolfazl Jaafari et al.
AGRICULTURAL AND FOREST METEOROLOGY (2019)
Rock strength estimation: a PSO-based BP approach
E. Tonnizam Mohamad et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Predicting the strength properties of slurry infiltrated fibrous concrete using artificial neural network
T. Chandra Sekhara Reddy
FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING (2018)
Prediction of shear strength of soft soil using machine learning methods
Binh Thai Pham et al.
CATENA (2018)
A strength prediction model using artificial intelligence for recycling waste tailings as cemented paste backfill
Chongchong Qi et al.
JOURNAL OF CLEANER PRODUCTION (2018)
Design procedure for the web-post buckling of steel cellular beams
Lucas Figueiredo Grilo et al.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2018)
Structural behaviour of arched steel beams with cellular openings
O. F. Zaher et al.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2018)
Prediction of the Tensile Response of Carbon Black Filled Rubber Blends by Artificial Neural Network
Ivan Kopal et al.
POLYMERS (2018)
Optimization with a simulated annealing algorithm of a hybrid system for renewable energy including battery and hydrogen storage
Weiping Zhang et al.
ENERGY (2018)
Deriving temperature-dependent material models for structural steel through artificial intelligence
M. Z. Naser
CONSTRUCTION AND BUILDING MATERIALS (2018)
Serviceability performance of composite cellular beams with partial shear connection
R. M. Lawson et al.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2018)
Neural Network-Based Formula for the Buckling Load Prediction of I-Section Cellular Steel Beams
Miguel Abambres et al.
COMPUTERS (2018)
Optimal design of hierarchical grid-stiffened cylindrical shell structures based on linear buckling and nonlinear collapse analyses
Yunong Zhao et al.
THIN-WALLED STRUCTURES (2017)
Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition
Danial Jahed Armaghani et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2017)
A meshfree unit-cell method for effective planar analysis of cellular beams
A. R. Zainal Abidin et al.
COMPUTERS & STRUCTURES (2017)
A simulated annealing heuristic for the hybrid vehicle routing problem
Vincent F. Yu et al.
APPLIED SOFT COMPUTING (2017)
Improved shuffled frog leaping algorithm-based BP neural network and its application in bearing early fault diagnosis
Zhuanzhe Zhao et al.
NEURAL COMPUTING & APPLICATIONS (2016)
Stochastic continuum modeling of random interphases from atomistic simulations. Application to a polymer nanocomposite
T. T. Le et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2016)
Performance of unprotected and protected cellular beams in fire conditions
Ali Nadjai et al.
CONSTRUCTION AND BUILDING MATERIALS (2016)
Experimental study on long spanning composite cellular beam under flexure and shear
Therese Sheehan et al.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2016)
A modified cultural algorithm with a balanced performance for the differential evolution frameworks
Mostafa Z. Ali et al.
KNOWLEDGE-BASED SYSTEMS (2016)
Cellular beam design for resistance to inelastic lateral-torsional buckling
Pattamad Panedpojaman et al.
THIN-WALLED STRUCTURES (2016)
Buckling load prediction of laminated composite stiffened panels subjected to in-plane shear using artificial neural networks
Upendra K. Mallela et al.
THIN-WALLED STRUCTURES (2016)
Neuro-fuzzy technique to predict air-overpressure induced by blasting
Danial Jahed Armaghani et al.
ARABIAN JOURNAL OF GEOSCIENCES (2015)
Application of Artificial Neural Network for Predicting Shaft and Tip Resistances of Concrete Piles
Ehsan Momeni et al.
Earth Sciences Research Journal (2015)
Prediction of blast-induced air overpressure: a hybrid AI-based predictive model
Danial Jahed Armaghani et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2015)
Computational homogenization of nonlinear elastic materials using neural networks
B. A. Le et al.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING (2015)
Reliability constrained generation expansion planning by a modified shuffled frog leaping algorithm
Morteza Jadidoleslam et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2015)
Lateral-torsional buckling resistance of cellular beams
Delphine Sonck et al.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2015)
Power loss minimization by optimal capacitor placement in radial distribution system using modified cultural algorithm
Vivekananda Haldar et al.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (2015)
Moment gradient factor of cellular steel beams under inelastic flexure
Khaled M. El-Sawy et al.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2014)
Estimation of induction motor parameters using shuffled frog-leaping algorithm
I. Perez et al.
ELECTRICAL ENGINEERING (2013)
Nonlinear analysis of cellular steel beams under combined buckling modes
Ehab Ellobody
THIN-WALLED STRUCTURES (2012)
Sampling design for air quality measurement surveys: An optimization approach
Thomas Romary et al.
ATMOSPHERIC ENVIRONMENT (2011)
Web buckling study of the behaviour and strength of perforated steel beams with different novel web opening shapes
Konstantinos Daniel Tsavdaridis et al.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2011)
Elastic lateral stability of I-shaped cellular steel beams
Amr M. I. Sweedan
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2011)
Artificial neural network model of the strength of thin rectangular plates with weld induced initial imperfections
Z. Sadovsky et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2011)
A new neural network-based model for hysteretic behavior of materials
Gun Jin Yun et al.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING (2008)
A modified shuffled frog-leaping optimization algorithm: applications to project management
Emad Elbeltagi et al.
STRUCTURE AND INFRASTRUCTURE ENGINEERING (2007)
Comparison of two evolutionary algorithms for optimization of bridge deck repairs
Hatem Elbehairy et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2006)
Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization
M Eusuff et al.
ENGINEERING OPTIMIZATION (2006)
Optimization of water distribution network design using the Shuffled Frog Leaping Algorithm
MM Eusuff et al.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT (2003)
Artificial neural network as an incremental non-linear constitutive model for a finite element code
M Lefik et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2003)
Neural networks in mechanics of structures and materials - new results and prospects of applications
Z Waszczyszyn et al.
COMPUTERS & STRUCTURES (2001)