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Optimized ANFIS-Genetic Algorithm-Particle Swarm Optimization Model for Estimation of Side Orifices Discharge Coefficient

A. H. Azimi, A. Rajabi, S. Shabanlu, Ph.D. Candidate, Department of Water Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran., Assistant Professor, Department of Water Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran., Associate Professor, Department of Water Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.
2018 Numerical Methods in Civil Engineering  
The model was obtained using combination of ANFIS, Genetic Algorithm and Particle Swarm Optimization. Then, 6 different models were defined for each ANFIS and hybrid models.  ...  Generally, side orifices are installed on side walls of the main channels for regulating and controlling water.  ...  To do this, the ANFIS network was combined with two robust optimization algorithms including "genetic algorithm" (GA) and "particle swarm optimization" (PSO).  ... 
doi:10.29252/nmce.2.4.27 fatcat:5amfah5tiffpdfngpqrgxqq6d4

Time-series prediction of iron and silicon content in aluminium electrolysis based on machine learning

Linsheng Chen, Yongming Wu, Yingbo Liu, Tiansong Liu, Xiaojing Sheng
2021 IEEE Access  
Therefore, a hybrid prediction model GS-GMDH is proposed based on growing neural gas (GNG) and the group method of data handling (GMDH).  ...  Firstly, a dynamic prediction mechanism, based on an incremental learning algorithm and timeseries prediction, is established by GS-GMDH, by which the singularity is recognized and the prediction efficiency  ...  Particle swarm optimization can also give ANFIS models an advantage in prediction, and the number of clusters is 2.  ... 
doi:10.1109/access.2021.3050548 fatcat:ftlos4zzwbb3rbyheeygtpq25m

A review and experimental study on the application of classifiers and evolutionary algorithms in EEG-based brain–machine interface systems

Farajollah Tahernezhad-Javazm, Vahid Azimirad, Maryam Shoaran
2018 Journal of Neural Engineering  
In the second part, these classifiers and evolutionary algorithms are assessed and compared based on two types of relatively widely used BMI systems, sensory motor rhythm-BMI and eventrelated potentials-BMI  ...  Moreover, in the second part, some of the improved evolutionary algorithms as well as bi-objective algorithms are experimentally assessed and compared. Main results.  ...  GDES is an evolutionary algorithm based on swarm intelligence and the differential evolution IPSO is the improved version of the PSO algorithm which is used to improve the neural network classifier.  ... 
doi:10.1088/1741-2552/aa8063 pmid:28718779 fatcat:f73o2yl24ndfvagtecfpms5g6u

A Review on Recent Advancements in FOREX Currency Prediction

Md. Saiful Islam, Emam Hossain, Abdur Rahman, Mohammad Shahadat Hossain, Karl Andersson
2020 Algorithms  
Our research shows that in recent years, researchers have been interested mostly in neural networks models, pattern-based approaches, and optimization techniques.  ...  We used a keyword-based searching technique to filter out popular and relevant research. Moreover, we have applied a selection algorithm to determine which papers to include in this review.  ...  Dadabada and Vadlamani [53] suggested a model for FOREX prediction that was based on a quantile regression neural network and particle swarm optimization.  ... 
doi:10.3390/a13080186 fatcat:pmcbxqcgsvhedep6qvkx7qmssy

An automatic and non-intrusive hybrid computer vision system for the estimation of peel thickness in Thomson orange

Hossein Javadikia, Sajad Sabzi, Juan I. Arribas
2019 Spanish Journal of Agricultural Research  
, width, contrast, texture, width/area, width/length, roughness, and length) a novel automatic and non-intrusive approach based on computer vision with a hybrid particle swarm optimization (PSO), genetic  ...  algorithm (GA) and artificial neural network (ANN) system is proposed.  ...  Particle Swarm Optimization (PSO) PSO is a robust stochastic optimization technique based on the evolution in time and intelligence of natural swarms in nature.  ... 
doi:10.5424/sjar/2018164-11185 fatcat:sd2unntw5jc5tf75dd3mjsji7q

A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction

Sarat Chandra Nayak, Bijan Bihari Misra
2019 Financial Innovation  
A multilayer perceptron with one hidden layer is used as the base model and CRO is used to the optimal weights and biases of this model.  ...  This study proposes a chemical reaction optimization (CRO) based neuro-fuzzy network model for prediction of stock indices.  ...  Acknowledgements The authors are grateful to the editor-in-chief and the anonymous reviewers for their valuable suggestions which helped in improving the quality of this paper.  ... 
doi:10.1186/s40854-019-0153-1 fatcat:vuzq7qm5rfdndljgukdven7xaa

A COMBINATION OF COMPUTATIONAL FLUID DYNAMICS, ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTORS MACHINES MODEL TO PREDICT FLOW VARIABLES IN CURVED CHANNEL

Azadeh Gholami, Hossein Bonakdari, Ali Akbar Akhtari, Isa Ebtehaj
2017 Scientia Iranica. International Journal of Science and Technology  
Therefore, artificial neural network (ANN) and support vectors machines (SVM) models with CFD is designed to estimate velocity and flow depth variable in 60° sharp bend.  ...  three-dimensional flow variables prediction in curved channels.  ...  "Comparative analysis of GMDH neural network based on genetic algorithm and particle swarm optimization in stable channel design", Applied Mathematics and Computation, 313, pp. 271-286 (2017). 32.  ... 
doi:10.24200/sci.2017.4520 fatcat:agjs6wmlyvbrhlx5vr56sjgcxm

Table of contents

2009 2009 17th Mediterranean Conference on Control and Automation  
Ant colony optimization (ACO) is one of the swarm intelligence (SI) techniques.  ...  The identification method is based on recurrent neural network nonlinear AutoRegressive with eXternal input (NNARX) model derived from dynamic feedforward neural network by adding feedback connection between  ...  Neural Networks Using Optimal Fuzzy Clustering, pp.The major issues in developing radial basis functions neural networks are the determination of the appropriate number of hidden nodes and the kernel  ... 
doi:10.1109/med.2009.5164498 fatcat:bi37lbkbhfaihj7lbc64vvplo4

Heat transfer analysis of unsteady graphene oxide nanofluid flow using a fuzzy identifier evolved by genetically encoded mutable smart bee algorithm

Mohammadreza Azimi, Ahmad Mozaffari
2015 Engineering Science and Technology, an International Journal  
Heat transfer analysis Fuzzy inference system Hybrid genetic mutable smart bee algorithm a b s t r a c t In the current research, the unsteady two dimensional Graphene Oxide water based nanofluid heat  ...  Here, the authors propose the use of a modified evolutionary algorithm (EA) which is called hybrid genetic mutable smart bee algorithm (HGMSBA).  ...  weights in neural networks).  ... 
doi:10.1016/j.jestch.2014.10.002 fatcat:4cgt6ptttzefxgybkz2lbd2eqa

Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges

Md. Hasan Al Banna, Kazi Abu Taher, M. Shamim Kaiser, Mufti Mahmud, Md. Sazzadur Rahman, A. S. M. Sanwar Hosen, Gi Hwan Cho
2020 IEEE Access  
ACKNOWLEDGMENT The authors would like to thank Bangladesh University of Professionals for supporting this research.  ...  In the particle swarm optimization (PSO) algorithm, particles are used to find the best solution.  ...  Fig. 5 (a) shows the basic structure of Fuzzy logic systems. 2) Fuzzy Neural Network (FNN) When Fuzzy networks are represented as ANN so that they can be optimized using backpropagation or genetic algorithm  ... 
doi:10.1109/access.2020.3029859 fatcat:m53zn4ulq5c2neezhqa53qirca

Crashworthiness optimization of front rail structure using macro element method and evolutionary algorithm

Mariusz Pyrz, Marek Krzywoblocki
2019 Structural And Multidisciplinary Optimization  
The optimization procedures revealed the necessity of a new design criterion related to maximal bending moments in the structure.  ...  In this paper, the research on crashworthiness optimization of thin-walled structures is presented. The model of "S"-shaped frame subjected to complex crush load is analyzed.  ...  The modeling results using the VCS program of some typical problems have been validated in the past in many papers mentioned already in the chapters 3.1 and 3.2 (Takada and Abramowicz (2003) ; Georgiou  ... 
doi:10.1007/s00158-019-02233-7 fatcat:ptkeptvb7rfovdgnmke4ub7csi

Sponsoring institutions

1985 Nuclear Physics A  
In order to create different levels of AIs we selected some strategies with different features, each one represented by Acknowledgment We would like to thank Fabio Dominio and dr.  ...  Acknowledgements We warmly acknowledge Sapienza University, in particular our Department and our Faculty, for continuous support to student participation in the competitions.  ...  We used a self-organizing tool of KnowledgeMiner Software 3 , based on GMDH neural networks. For ensemble development the dataset was randomly half subdivided into training and testing datasets.  ... 
doi:10.1016/0375-9474(85)90488-9 fatcat:rduhsx664rbqnegxl4hkxgp3lu

Sponsoring institutions

2002 Physica A: Statistical Mechanics and its Applications  
In order to create different levels of AIs we selected some strategies with different features, each one represented by Acknowledgment We would like to thank Fabio Dominio and dr.  ...  Acknowledgements We warmly acknowledge Sapienza University, in particular our Department and our Faculty, for continuous support to student participation in the competitions.  ...  We used a self-organizing tool of KnowledgeMiner Software 3 , based on GMDH neural networks. For ensemble development the dataset was randomly half subdivided into training and testing datasets.  ... 
doi:10.1016/s0378-4371(02)01572-8 fatcat:qcyfgqu3sfd45jncgigcqlzjc4

Table of Contents

2021 2021 40th Chinese Control Conference (CCC)   unpublished
LUO Minhui 3480 Magnetometer Error Compensation Algorithm Based on Improved Particle Swarm Optimization Algorithm . . .  ...  SUN Jingbo, PENG Zhihong, CAI Junqi 1808 Research on Multi-AGVs Scheduling Based on Genetic Particle Swarm Optimization Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.23919/ccc52363.2021.9550117 fatcat:55y7a2gagfhtpc6llmfvl7gqpm

Innovative customer behavior forecasting framework for subscription-based organizations [article]

Λεωνίδας Κατελάρης, Leonidas Katelaris, University Of Piraeus, Μαρίνος Θεμιστοκλέους
2021
in telecom industry … Machine Learning and Data Mining in R Prashanth, K Deepak, AK Meher Hyperparameter Optimization of Artificial Neural Network in Customer Churn Prediction using Genetic Algorithm  ...  Chawla 2013 Improved Feature Selection Based on Particle Swarm Optimization for Liver Disease Diagnosis Swarm, Evolutionary, and Memetic Computing Gunasundari SelvarajJanakiraman S. 2013  ...  The research conducted presented in this research work meets the aim and objectives of this thesis (i.e., "Study customer churn in subscription-based organizations.") and results in five novel theoretical  ... 
doi:10.26267/unipi_dione/694 fatcat:ymcsss566ndtpcala2h4xsdhiy
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