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。Thermodynamic analysis of gravity assisted solar-powered reverse osmosis unit for greenhouses situated in a depleted zone
Yasser M. Abdullatif et al.
CASE STUDIES IN THERMAL ENGINEERING (2021)
Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm
X. J. Luo et al.
ADVANCED ENGINEERING INFORMATICS (2021)
Design and thermodynamic analysis of a solar powered greenhouse for arid climates
Farhat Mahmood et al.
DESALINATION (2021)
Predicting freshwater production in seawater greenhouses using hybrid artificial neural network models
Fatemeh Panahi et al.
JOURNAL OF CLEANER PRODUCTION (2021)
Utilization of Radial Basis Function Neural Network model for Water production forecasting in Seawater Greenhouse units
Yanhong Wu et al.
ENERGY REPORTS (2021)
Predicting freshwater production and energy consumption in a seawater greenhouse based on ensemble frameworks using optimized multi-layer perceptron
Mohammad Ehteram et al.
ENERGY REPORTS (2021)
Human Computer Interaction Feedback Based-On Data Visualization Using MVAR and NN
J. Olszewska
IEEE 15TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI 2021) (2021)
On the covariance-Hessian relation in evolution strategies
Ofer M. Shir et al.
THEORETICAL COMPUTER SCIENCE (2020)
Performance Analysis of a New Electricity and Freshwater Production System Based on an Integrated Gasification Combined Cycle and Multi-Effect Desalination
Farzad Hamrang et al.
SUSTAINABILITY (2020)
Prediction of power consumption and water productivity of seawater greenhouse system using random vector functional link network integrated with artificial ecosystem-based optimization
F. A. Essa et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2020)
Predicting the water production of a solar seawater greenhouse desalination unit using multi-layer perceptron model
Taleb Zarei et al.
SOLAR ENERGY (2019)
Empirical model for the condenser of the seawater greenhouse
Abdulrahim M. Al-Ismaili et al.
CHEMICAL ENGINEERING COMMUNICATIONS (2018)
Recurrent Neural Network Model for Prediction of Microclimate in Solar Greenhouse
Wang Hongkang et al.
IFAC PAPERSONLINE (2018)
Adaptive image steganography based on transform domain via genetic algorithm
Aref Miri et al.
OPTIK (2017)
Mathematical modeling and sensibility analysis of a solar humidification dehumidification desalination system considering saturated air
Bruno Lacerda de Oliveira Campos et al.
SOLAR ENERGY (2017)
A bibliometric analysis of Genetic Algorithms throughout the history
Son Duy Dao et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2017)
Heat transfer and MLP neural network models to predict inside environment variables and energy lost in a semi-solar greenhouse
Morteza Taki et al.
ENERGY AND BUILDINGS (2016)
Seawater greenhouse in Oman: A sustainable technique for freshwater conservation and production
Abdulrahim M. Al-Ismaili et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2016)
A novel integrated system for fresh water production in greenhouse: Dynamic simulation
M. Zamen et al.
DESALINATION (2013)
Simulation of the vapor mixture condensation in the condenser of seawater greenhouse using two models
T. Tahri et al.
DESALINATION (2013)
Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network
B. Ghobadian et al.
RENEWABLE ENERGY (2009)
Weather data and analysis of hybrid photovoltaic - wind power generation systems adapted to a seawater greenhouse desalination unit designed for arid coastal countries
H. Mahmoudi et al.
DESALINATION (2008)
On the possible techniques to cool the condenser of seawater greenhouses
B. Dawoud et al.
DESALINATION (2006)
Development of a humidification-dehumidification system in a quonset greenhouse for sustainable crop production in arid regions
JS Perret et al.
BIOSYSTEMS ENGINEERING (2005)
分享论文
