4.7 Article

Utilization of random vector functional link integrated with manta ray foraging optimization for effluent prediction of wastewater treatment plant

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。
Article Thermodynamics

Machine learning algorithms for improving the prediction of air injection effect on the thermohydraulic performance of shell and tube heat exchanger

Emad M. S. El-Said et al.

Summary: Improved prediction methods based on supervised machine-learning algorithms were proposed in this study to predict the effect of air injection and transverse baffles on the thermohydraulic performance of shell and tube heat exchangers. Experimental data was used to train and test four different machine-learning algorithms, with the random vector functional link model demonstrating superior prediction capabilities compared to the other models in terms of outlet temperature and pressure drop values. The root mean square error and mean relative error for RVFL results were significantly lower than SMO, SVM, or KNN.

APPLIED THERMAL ENGINEERING (2021)

Article Engineering, Environmental

Comprehensive parametric analysis, design and performance assessment of a solar dish/Stirling system

Mohamed E. Zayed et al.

Summary: The development of solar dish/Stirling system as a promising green power generation technology has received attention, with a focus on the impact of various parameters on performance and the design of a commercial SDSS. Results showed that larger diameter SDSS can produce more power effectively.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2021)

Article Materials Science, Multidisciplinary

Prediction of residual stresses in turning of pure iron using artificial intelligence-based methods

Ahmed B. Khoshaim et al.

Summary: This paper investigates the prediction of residual stresses generation during dry turning of DT4E pure iron using artificial intelligence methods and enhances the prediction accuracy with two different optimization algorithms. The results show that the ANN-FPA model has the best prediction accuracy among all models, with high coefficient of determination values for both radial and circumferential residual stresses.

JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T (2021)

Article Engineering, Environmental

Utilization of LSTM neural network for water production forecasting of a stepped solar still with a corrugated absorber plate

Ammar H. Elsheikh et al.

Summary: This study introduced a LSTM neural network model to forecast the freshwater yield of a stepped solar still and a conventional one, resulting in an improved yield by 128% for the stepped solar still compared to the conventional one. The forecasting accuracy of the proposed model was high, with a coefficient of determination of 0.97 and 0.99 for the conventional and the stepped solar still, respectively.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2021)

Article Automation & Control Systems

Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications

Weiguo Zhao et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)

Article Engineering, Chemical

Prediction of full-scale filtration plant performance using artificial neural networks based on principal component analysis

Alper Alver et al.

SEPARATION AND PURIFICATION TECHNOLOGY (2020)

Review Green & Sustainable Science & Technology

A systematic review of factors influencing spatiotemporal variability in urban water and energy consumption

Ilse M. Voskamp et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Green & Sustainable Science & Technology

Evaluation of the dewaterability, heavy metal toxicity and phytotoxicity of sewage sludge in different advanced oxidation processes

Jialin Liang et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Review Green & Sustainable Science & Technology

State of the art and sustainability of natural coagulants in water and wastewater treatment

Wei Lun Ang et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Computer Science, Interdisciplinary Applications

Design of a hybrid mechanistic/Gaussian process model to predict full-scale wastewater treatment plant effluent

Nadja Hvala et al.

COMPUTERS & CHEMICAL ENGINEERING (2020)

Article Environmental Sciences

Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea

Sungwon Kim et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2020)

Proceedings Paper Engineering, Mechanical

A new artificial neural network model integrated with a cat swarm optimization algorithm for predicting the emitted noise during axial piston pump operation

A. H. Elsheikh et al.

19TH INTERNATIONAL CONFERENCE ON APPLIED MECHANICS AND MECHANICAL ENGINEERING (AMME-19) (2020)

Review Environmental Sciences

Review on applications of particle swarm optimization in solar energy systems

A. H. Elsheikh et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2019)

Article Thermodynamics

Improved prediction of oscillatory heat transfer coefficient for a thermoacoustic heat exchanger using modified adaptive neuro-fuzzy inference system

Mohamed Abd Elaziz et al.

INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID (2019)

Review Engineering, Environmental

Data-driven performance analyses of wastewater treatment plants: A review

Kathryn B. Newhart et al.

WATER RESEARCH (2019)

Article Environmental Sciences

Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology

Khadije Lotfi et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2019)

Review Chemistry, Physical

A review on meta-heuristics methods for estimating parameters of solar cells

Diego Oliva et al.

JOURNAL OF POWER SOURCES (2019)

Article Materials Science, Multidisciplinary

Modeling of friction stir welding process using adaptive neuro-fuzzy inference system integrated with harris hawks optimizer

Taher A. Shehabeldeen et al.

JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T (2019)

Article Engineering, Multidisciplinary

Noise prediction of axial piston pump based on different valve materials using a modified artificial neural network model

Hassan A. Babikir et al.

ALEXANDRIA ENGINEERING JOURNAL (2019)

Article Green & Sustainable Science & Technology

Prediction of effluent quality parameters of a wastewater treatment plant using a supervised committee fuzzy logic model

Ata Allah Nadiri et al.

JOURNAL OF CLEANER PRODUCTION (2018)

Article Environmental Sciences

Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate

Mohammad Zeynoddin et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2018)

Article Computer Science, Artificial Intelligence

Adaptive fuzzy neural network control of wastewater treatment process with multiobjective operation

Jun-Fei Qiao et al.

NEUROCOMPUTING (2018)

Article Engineering, Environmental

Wastewater treatment plant performance analysis using artificial intelligence - an ensemble approach

Vahid Nourani et al.

WATER SCIENCE AND TECHNOLOGY (2018)

Article Thermodynamics

A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm

Ibrahim Anwar Ibrahim et al.

ENERGY CONVERSION AND MANAGEMENT (2017)

Article Environmental Sciences

Machine Learning Algorithms for the Forecasting of Wastewater Quality Indicators

Francesco Granata et al.

Article Engineering, Chemical

Evolutionary prediction of electrocoagulation efficiency and energy consumption probing

Azam Akhbari et al.

DESALINATION AND WATER TREATMENT (2017)

Article Engineering, Civil

Highway runoff quality models for the protection of environmentally sensitive areas

William R. Trenouth et al.

JOURNAL OF HYDROLOGY (2016)

Article Engineering, Civil

Integrative neural networks models for stream assessment in restoration projects

Ed Gazendam et al.

JOURNAL OF HYDROLOGY (2016)

Article Computer Science, Artificial Intelligence

A sensor-software based on a genetic algorithm-based neural fuzzy system for modeling and simulating a wastewater treatment process

Mingzhi Huang et al.

APPLIED SOFT COMPUTING (2015)

Article Green & Sustainable Science & Technology

A hybrid life-cycle and fuzzy-set-pair analyses approach for comprehensively evaluating impacts of industrial wastewater under uncertainty

Wencong Yue et al.

JOURNAL OF CLEANER PRODUCTION (2014)

Article Engineering, Environmental

State estimation for large-scale wastewater treatment plants

Jan Busch et al.

WATER RESEARCH (2013)

Article Environmental Sciences

Active and online prediction of BOD5 in river systems using reduced-order support vector machine

Roohollah Noori et al.

ENVIRONMENTAL EARTH SCIENCES (2012)

Article Engineering, Environmental

Stochastic modeling to identify requirements for centralized monitoring of distributed wastewater treatment

T. Hug et al.

WATER SCIENCE AND TECHNOLOGY (2012)

Article Environmental Sciences

Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance

Farouq S. Mjalli et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2007)

Article Automation & Control Systems

Prediction of parameters characterizing the state of a pollution removal biologic process

S Grieu et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2005)

Article Computer Science, Interdisciplinary Applications

Activated sludge wastewater treatment plant modelling and simulation: state of the art

KV Gernaey et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2004)