A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Optimized ANFIS-Genetic Algorithm-Particle Swarm Optimization Model for Estimation of Side Orifices Discharge Coefficient
2018
Numerical Methods in Civil Engineering
Preserved Fulltext
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
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2018
Journal of Neural Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
2020
Algorithms
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2019
Spanish Journal of Agricultural Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
, 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
2019
Financial Innovation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2017
Scientia Iranica. International Journal of Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2015
Engineering Science and Technology, an International Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2019
Structural And Multidisciplinary Optimization
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
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
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
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
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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]
2021
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 18 results