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Comparison Of Neural Network And Differential Evolution In Estimation Of Air Quality Using Mean Square Error

Ima O. Essiet
2014 IOSR Journal of Computer Engineering  
The aim of this paper is to develop an effective algorithm to achieve this by comparing the efficacy of both neural networks and differential evolution in the determination of the concentration of air  ...  This paper applies neural networks and differential evolution (two of the most effective softcomputing algorithms) to the estimation of air quality and compares the accuracy of their results using the  ...  It was first proposed by Kenneth Price and Rainer Storn in 1995 when they used it to successfully solve a 33-dimensional Chebyshev polynomial (Price, Storn & Lampinen, 2006) .  ... 
doi:10.9790/0661-1618124129 fatcat:5olkwmbyh5bopdgiweojqvph3m

Optimal management of beaver population using a reduced-order distributed parameter model and single network adaptive critics

R. Padhi, S.N. Balakrishnan
2006 IEEE Transactions on Control Systems Technology  
The solution obtained can be used in real-time by a nonexpert in control theory since it involves only using the neural networks trained offline.  ...  Optimal solutions are obtained through a "single network adaptive critic" (SNAC) neural-network architecture.  ...  Bhat, Associate Professor, Department of Environmental Studies, Florida International University, Miami, for their helpful and productive e-mail communications.  ... 
doi:10.1109/tcst.2006.876633 fatcat:4pql5l5m4fab7o7k5qzi4ymvfe

Active noise control techniques for nonlinear systems [article]

Lu Lu, Kai-Li Yin, Rodrigo C. de Lamare, Zongsheng Zheng, Yi Yu, Xiaomin Yang, Badong Chen
2022 arXiv   pre-print
Then, we present recent applications of ANC technique including linear and nonlinear perspectives. Future research challenges regarding ANC techniques are also discussed.  ...  However, ANC systems might have to deal with some nonlinear components and the performance of linear ANC techniques may degrade in this scenario.  ...  Acknowledgment The authors would like to thank the associate editor and the anonymous referees for their valuable comments.  ... 
arXiv:2110.09672v2 fatcat:yjivwjydw5bpxpz7jvkc6jsjo4

Artificial Intelligence in Aerospace [chapter]

David John
2010 Aerospace Technologies Advancements  
It was found that applying a neural network wrapper to the system was able to provide a speed up of between a factor of 2 and 200 depending on the conditions.  ...  A good example of this is in the case of atmospheric photochemistry where we need to solve a large coupled system of ordinary differential equations (ODEs) at a large grid of locations.  ...  For our studies, we typically used feedforward back-propagation neural networks with a Levenberg-Marquardt back-propagation training algorithm (Levenberg, 1944 , Marquardt, 1963 , Moré, 1977 , Marquardt  ... 
doi:10.5772/6941 fatcat:td55fz72zvfn7kmk2glnocqhru

Prediction of Ship Cabin Noise Based on RBF Neural Network

Jun Guo, Mei-ting Wang, You-wei Kang, Yin Zhang, Chen-xu Gu
2019 Mathematical Problems in Engineering  
In this paper, we explore the use of a radial basis function (RBF) neural network to study this problem.  ...  The results show that the RBF neural network trained using the DE algorithm has better prediction accuracy, generalization, and robustness than the others.  ...  Acknowledgments This study was funded by high performance numerical wind tunnel algorithm and software research (20160131), High Technology Ship Funds of Ministry of Industry and Information of P.R.  ... 
doi:10.1155/2019/2781437 fatcat:qjjs7kmpnbhx5o2hbtkwnfr6ci

GP-ARX-Based Structural Damage Detection and Localization under Varying Environmental Conditions

Konstantinos Tatsis, Vasilis Dertimanis, Yaowen Ou, Eleni Chatzi
2020 Journal of Sensor and Actuator Networks  
The method is assessed via application on two numerical case studies of different complexity, with the results confirming its efficacy for diagnostics under varying EOCs.  ...  We address these issues by proposing a distributed framework for structural identification, damage detection and localization.  ...  Case Studies Damage Detection on a Spring-Mass-Damper System A simple structural system with six DOFs, as illustrated in Figure 2 , is chosen as the first case study.  ... 
doi:10.3390/jsan9030041 fatcat:xpzy4c3lszc5bdy34sbhbmr3q4

Combining Measures of Signal Complexity and Machine Learning for Time Series Analyis: A Review

Sebastian Raubitzek, Thomas Neubauer
2021 Entropy  
Additionally, we evaluate applications of these concepts and examine if they can be helpful in predicting and analyzing time series using machine and deep learning.  ...  In this article, we provide a review of complexity and entropy measures in combination with machine learning approaches.  ...  Feed Forward Artificial Neural Networks Feedforward neural networks are neural networks that are connected in a non-cyclic manner.  ... 
doi:10.3390/e23121672 pmid:34945978 pmcid:PMC8700684 fatcat:ppvnllvlhvemtpxkitg4aapvxe

Machine Learning Algorithms and Fault Detection for Improved Belief Function Based Decision Fusion in Wireless Sensor Networks

Atia Javaid, Nadeem Javaid, Zahid Wadud, Tanzila Saba, Osama Sheta, Muhammad Saleem, Mohammad Alzahrani
2019 Sensors  
Because of these challenges, efficient fault detection methods must be used to detect faults in a WSN in a timely manner.  ...  The decentralized classification fusion problem was the reason to use the belief function-based decision fusion approach in Wireless Sensor Networks (WSNs).  ...  In [30] , a survey was conducted for the machine learning techniques considering the application and networking perspective in WSNs.  ... 
doi:10.3390/s19061334 fatcat:zeu557lk5vgdli3co7x3mqqqkq

Inference of compact nonlinear dynamic models by epigenetic local search

William La Cava, Kourosh Danai, Lee Spector
2016 Engineering applications of artificial intelligence  
We begin by testing 81 the method on a large set of data obtained from simulated nonlinear ODEs in different engineering 82 fields, in order to illustrate its breadth of application.  ...  We formulate in §2 the identification problem and describe in §3 the ELGP method and 78 its application to inference of dynamic models.  ...  However it is important to note that the high number of variables in this problem produce a neural network with 250 parameters, whereas the ELGP model contains only 7.  ... 
doi:10.1016/j.engappai.2016.07.004 fatcat:pce73g5byzfdvcbxjpz42zvamu

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
Gharibeh, H.F., Fault Diagnosis in Photovoltaic Arrays Using GBSSL Method and Proposing a Fault Correction System; TII Aug. 2020 5300-5308  ...  Dustdar, S., Guest Editorial:Special Section on End-Edge-Cloud Orchestrated Algorithms, Systems and Applications; TII July 2020 4788-4790 Jiang, J., see Jia, G., 1993-2002 Jiang, J., see Liu, L., 2072  ...  Cooperative Differential Game-Based Optimal Control and Its Application to Power Systems.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

Indirect adaptive soft computing based wavelet-embedded control paradigms for WT/PV/SOFC in a grid/charging station connected hybrid power system

Sidra Mumtaz, Laiq Khan, Saghir Ahmed, Rabiah Bader, Xiaosong Hu
2017 PLoS ONE  
The robustness of the suggested indirect adaptive control paradigms are evaluated through simulation results in a grid-connected hybrid power system test-bed by comparison with conventional and intelligent  ...  The domestic load and the conventional charging stations behave in an uncertain manner.  ...  Acknowledgments The authors are highly grateful to Shah Riaz for providing valuable suggestions for improving and modifying the overall contents of the paper.  ... 
doi:10.1371/journal.pone.0183750 pmid:28877191 pmcid:PMC5587257 fatcat:prpp7ue3trfbndqkxiyweiijhu

Data Enrichment [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
They are now widely used by the worlds most valuable public companies. I review the most popular algorithms for feedforward and recurrent networks and their history.  ...  Abstract Deep Belief Networks Deep Belief Nets Abstract Deep learning artificial neural networks have won numerous contests in pattern recognition and machine learning.  ...  In: Proceedings of ICANN, Thessaloniki, pp 92-101 Schmidhuber J (1989b) A local learning algorithm for dynamic feedforward and recurrent networks.  ... 
doi:10.1007/978-1-4899-7687-1_979 fatcat:v22x3o5iuzaa5ghwx5fvqztpg4

Methodology-centered review of molecular modeling, simulation, and prediction of SARS-CoV-2 [article]

Kaifu Gao, Rui Wang, Jiahui Chen, Limei Cheng, Jaclyn Frishcosy, Yuta Huzumi, Yuchi Qiu, Tom Schluckbier, Guo-Wei Wei
2021 arXiv   pre-print
This limitation will likely haunt the scientific community for a long time and have a devastating consequence in combating COVID-19 and other pathogens.  ...  Despite much effort by scientists, medical experts, and society in general, the slow progress on drug discovery and antibody therapeutic development, the unknown possible side effects of the existing vaccines  ...  Acknowledgments This work was supported in part by NIH grant GM126189, NSF Grants DMS-1721024, DMS-1761320, and IIS1900473, NASA grant 80NSSC21M0023, Michigan Economic Development Corporation, George Mason  ... 
arXiv:2102.00971v1 fatcat:ej7eyfhaivbdfmwytn2khmvd34

Machine learning for electronically excited states of molecules [article]

Julia Westermayr, Philipp Marquetand
2020 arXiv   pre-print
research field in all its aspects.  ...  In order to put these studies into context, we discuss the promises and pitfalls of the involved machine learning techniques.  ...  Acknowledgement This work was financially supported by the Austrian Science Fund, W 1232 (MolTag) and the uni:docs program of the University of Vienna (J.W.). P.  ... 
arXiv:2007.05320v1 fatcat:ko2q2r347nautb52m2ao42zuj4

Contents

2020 2020 International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)  
The conference was renamed in 2011 as "IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition" (2011 IEEE iWEM).  ...  Although affected by the COVID-19 pandemic, iWEM 2020 has attracted near one hundred paper submissions, 61 of which are expected to be included in the IEEE Xplore.  ...  Thanks for giving the permission to commence this study and to use departmental data.  ... 
doi:10.1109/iwem49354.2020.9237401 fatcat:soy4ile3tnaqdjgnvkm27dy4dq
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