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Convergence Analysis and Quality Criteria for an Iterative Schematization of Networks
2007
Geoinformatica
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Criteria for measuring the quality of results, as well as for stopping the iterative approach are presented. ...
Experimental results are provided to examine the acceptability of outcomes and the convergence of the applied iterative technique. ...
This requires an analysis of outcomes and the convergence evaluation of the iterative algorithm. ...
doi:10.1007/s10707-007-0018-z
fatcat:lakm3dqlmbcihko6qga657vusy
Distributed Optimal Vehicle Grid Integration Strategy with User Behavior Prediction
[article]
2017
arXiv
pre-print
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The control center collects distributed optimization results and updates the control signal, periodically. The iteration continues until it converges to optimal scheduling. ...
With the increasing of electric vehicle (EV) adoption in recent years, the impact of EV charging activities to the power grid becomes more and more significant. ...
The iteration ends when algorithm converges to an optimal charging strategy for all plug-in EVs in the network. ...
arXiv:1703.04552v1
fatcat:xhwojzolf5bs3fndn5nwrkjg2e
Fast Automatic Schematics for Public Transport Spider Maps
2012
Procedia Technology - Elsevier
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We show results with real public transport network datasets, and discuss possible evaluation criteria. ...
This is a difficult and time consuming task that also needs a skilled map designer, which results in an expensive outcome. ...
Acknowledgements I want to thank Tecmic, Technologies of Microelectronic, SA for pointing me to the interesting topic of Spider Map layouts and supporting this work. ...
doi:10.1016/j.protcy.2012.09.073
fatcat:z64qfdayfvfpxorfdbzjyeckpm
FI-GAN: fewer iterations GAN for rapid synthesis controllable realistic images
2020
IET Image Processing
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Then, two new loss functions, including quality and category loss functions for both the discriminator and generator, are designed to enhance the details and distinguishability of the generated images. ...
Finally, to avoid mode collapse and improve the convergence, the Wasserstein distance is used as the quality loss function. ...
Introduction Generative adversarial network (GAN) is a type of neural network architecture for the generative model first proposed by Goodfellow et al. ...
doi:10.1049/iet-ipr.2020.0639
fatcat:zfgokiu74bazznck6xjmeetqkq
Combined ILC and PI regulator for wastewater treatment plants
2020
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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The obtained results show the advantages of ILC over a classical PI control concerning the control quality indexes, IEA and ISE, of the system. ...
The benchmark simulation model No.1-BSM1 has been used as a standard for performance assessment and evaluation of the control strategy. ...
ACKNOWLEDGEMENTS The authors acknowledge Thai Nguyen University of Technology for their financial support in our project with code ĐH2017-TN02-03. ...
doi:10.12928/telkomnika.v18i2.14895
fatcat:bsho2cxhfvardl4xr7apb6t3dy
Data-driven Full-waveform Inversion Surrogate using Conditional Generative Adversarial Networks
[article]
2021
arXiv
pre-print
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Real-world data were used to train and test the proposed network architecture, and three evaluation metrics (percent error, structural similarity index measure, and visual analysis) were adopted as quality ...
criteria. ...
In practice, to support the convergence and reduce the number of iterations, it is conventional to take a tomographic velocity model as input. ...
arXiv:2105.00100v1
fatcat:2gdnedb7xzd2zaevb6u4dknmcm
Optimal STEM Convergence Angle Selection using a Convolutional Neural Network and the Strehl Ratio
[article]
2020
arXiv
pre-print
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Here, we show that the Strehl ratio provides an accurate and efficient to calculate criteria for evaluating probe size for STEM. ...
Use of poor heuristics, such as Rayleigh's quarter-phase rule, to assess probe quality and uncertainties in measurement of the aberration function result in incorrect selection of convergence angles and ...
The Strehl ratio is an accurate and efficient to calculate metric for probe quality that straightforwardly incorporates into an objective function for optimization of the STEM probe. ...
arXiv:2007.12281v1
fatcat:7gbt4pyefncopeve2l3qxrpz6m
Performance Analysis of IoT-Based Health and Environment WSN Deployment
2020
Sensors
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The algorithms were compared using convergence rate, constancy repeatability, and modeling complexity criteria. ...
This paper aims to apply GIS-based optimization algorithms for optimizing IoT-based network deployment through the use of wireless sensor networks (WSNs) and smart connected sensors for environmental and ...
Convergence Rate One of the important criteria for the suitability of a meta-heuristic algorithm is its convergence rate [89] . ...
doi:10.3390/s20205923
pmid:33092224
fatcat:h4xl3xuhlnbgle5bsw3dsnduku
A Quality-of-Experience driven bidding game for uplink video transmission in next generation mobile networks
2012
2012 19th IEEE International Conference on Image Processing
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Simulations in an LTE environment show the benefits of our distributed approach in terms of convergence time and QoE performance, compared to a centralized greedy scheme and a state-of-theart game-theoretic ...
In this paper, we propose a Quality of Experience (QoE) driven bidding game for de-centralized uplink resource allocation among multiple mobile video producers. ...
The performance evaluation criteria is based both on the number of iterations they need to converge and on the MOS performance they can achieve. ...
doi:10.1109/icip.2012.6467351
dblp:conf/icip/SchroederESDK12
fatcat:ni46mpv4nnabldcf5fi6zehdv4
An Accurate PSO-GA Based Neural Network to Model Growth of Carbon Nanotubes
2017
Journal of Nanomaterials
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By combining particle swarm optimization (PSO) and genetic algorithms (GA) this paper offers an innovative algorithm to train artificial neural networks (ANNs) for the purpose of calculating the experimental ...
The results are compared with conventional particle swarm optimization based neural network (CPSONN) and Levenberg–Marquardt (LM) techniques. ...
Acknowledgments Majid Ebrahimi Warkiani would like to acknowledge the support of the Australian Research Council through a Discovery Project Grant (DP170103704). ...
doi:10.1155/2017/9702384
fatcat:rxxqsmknbrc5ngvhl6szpjk5dy
Application of imperialist competitive optimization algorithm in power industry
2015
International Journal of Industrial Engineering Computations
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FACTS devices are used for controlling the voltage, stability, power flow and security of transmission lines. ...
Therefore, finding the optimal locations for these devices in power networks is necessary. ...
the quality of power networks. ...
doi:10.5267/j.ijiec.2014.9.002
fatcat:qmok5o6hkvatxaqyufgvyg77nu
Predictive analysis of combined burner parameter effects on oxy-fuel flames
2011
Applied Thermal Engineering
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The predictive analysis is based on a neural computation that considers the correlations between the inputs and the outputs of a combustion system using a configuration of separated jet. ...
(lift-off positions of flame and flame length). ...
Fig. 5 . 5 Evolution of the average and maximum convergence criteria as function of iteration level for an increasing number of neurons in the hidden layer. ...
doi:10.1016/j.applthermaleng.2010.08.034
fatcat:kdnwteiduzah3ciwfj64fngkjy
Effect Evaluation of Electronic Health PDCA Nursing in Treatment of Childhood Asthma with Artificial Intelligence
2022
Journal of Healthcare Engineering
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optimize the BP neural network, and an improved genetic simulated annealing BP network (IGSA-BP) is proposed. ...
The algorithm not only reduces the problem that the BP network has an influence on initial weight and threshold on the algorithm but also improves the population diversity and avoids falling into local ...
Step 5: Perform an annealing operation, reduce the temperature, and reset the number of iterations. ...
doi:10.1155/2022/2005196
pmid:35388323
pmcid:PMC8979696
fatcat:xktalcf6f5hqxcorn54vd4yuka
Gep Considering Purchase Prices, Profits Of Ipps And Reliability Criteria Using Hybrid Ga And Pso
2008
Zenodo
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The results evaluation show that the proposed method can simply obtain optimal purchase prices of IPPs and is a fast method for calculation of reliability criteria in expansion planning. ...
It should be noted that reliability criteria and the rate of carbon dioxide (CO2) emission have been considered as constraints of the GEP problem. ...
Fig. 4 . 4 EENS versus GA iterations
Fig. 5 represents the balance point analysis for an independent power producer. ...
doi:10.5281/zenodo.1072178
fatcat:gk2wsdvs5ffl5abifedletf4fa
Prediction of Zn concentration in human seminal plasma of Normospermia samples by Artificial Neural Networks (ANN)
2013
Journal of Assisted Reproduction and Genetics
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Purpose There has been an increasing interest in the evaluation of metal ion concentration, present in different body fluids. ...
Objective The main objective of the study is to evaluate the Zn concentration in Normospermia samples by Atomic absorption spectroscopy (AAS) and to predict the same by artificial neural network (ANN). ...
Acknowledgments The authors wish to acknowledge the management of both the institutes, VIT University and BACC, for support towards the execution of this study. ...
doi:10.1007/s10815-012-9926-4
pmid:23307446
pmcid:PMC3644119
fatcat:zdatk6aclrak3eic5ccampqyaa
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