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Fuzzy granular evolving modeling for time series prediction

Fuzzy granular evolving modeling for time series prediction

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Daniel Leite Fernando Gomide Rosangela Ballini Pyramo Costa School of Electrical and Computer Engineering State University of Campinas-UNICAMP Sao Paulo Brazil Institute of Economics State University of Campinas-UNICAMP Sao Paulo Brazil Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Belo Horizonte Minas Gerais Brazil

Modeling large volumes of flowing data from complex systems motivates rethinking several aspects of the machine learning theory. Data stream mining is concerned with extracting structured knowledge from spatio-temporally correlated data. A profusion of systems and algorithms devoted to this end has been constructed under the conceptual framework of granular computing. This paper outlines a fuzzy set based granular evolving modeling FBeM approach for learning from imprecise data. Granulation arises because modeling uncertain data dispenses attention to details. The evolving aspect is fundamental to account endless flows of nonstationary data and structural adaptation of models. Experiments with classic Box-Jenkins and Mackey-Glass benchmarks as well as with actual Global40 bond data suggest that the FBeM approach outperforms alternative approaches.

关键词： Time series analysis Data models Adaptation models Approximation methods Pragmatics Uncertainty Fuzzy systems

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Structure and magnetic properties characterization of electrodeposited Co37Fe63 alloys containing oxygen for magnetic recording applications

Structure and magnetic properties characterization of electr...

引用

作者： Elhalawaty, S. Carpenter, R.W. George, J. Brankovic, S.R. Materials Science and Engineering Graduate Program School for Engineering of Matter Transport and Energy Arizona State University 85287-6106 United States LeRoy Eyring Center for Solid State Science Arizona State University AZ 85287-9506 United States Center for Nanomagnetic Systems University of Houston TX 77204-4005 United States Electrical and Computer Engineering Department University of Houston TX 77204-4005 United States

ISBN: (纸本)9781118029473

Soft and high magnetic moment Co37Fe63 films were electro-deposited with variable additives on Cu/Ti/Si substrates. The correlation between structure and magnetic properties has been investigated. TEM showed the crystal structure of the films to be BCC with a 〈111〉 texture, and a grain size in the range of 10-20 nm. Oxygen in the deposited films has been identified by EDS and EELS using HAADF STEM. SIMS analysis revealed the presence of hydrogen and oxygen in the deposited CoFe films. Electron microscopy results showed that the oxygen was mainly distributed along the grain boundaries in the CoFe film. In regions where oxygen was present in the films, the Fe content was enhanced relative to Co. The magnetic properties of the deposits have been measured by Vibrating Sample Magnetometer (VSM), quantifying the impact of incorporated oxygen in the film on the saturation magnetization and the coercivity.

关键词： Magnetic properties

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Optimization of defect hole placement in resonant cavities

Optimization of defect hole placement in resonant cavities

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作者： Kang, Christopher Weiss, Sharon M. Vlasov, Yurii A. Assefa, Solomon Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN 37235 United States Department of Physics and Astronomy Vanderbilt University Nashville TN 37235 United States Department of Electrical Engineering and Computer Science Vanderbilt University 37235 United States IBM T.J. Watson Research Center Yorktown Heights NY 10536 United States

We demonstrate the resonance wavelength and quality factor dependence of 50nm defect-hole placement within photonic crystal L3 microcavities. Proper placement of defect-holes leads to a 12% increase in photonic crysta... 详细信息

ISBN: (纸本)9781557529107

关键词： Photonic crystals

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Complex-valued functional link network design by orthogonal least squares method for function approximation problems

Complex-valued functional link network design by orthogonal ...

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International Joint Conference on Neural Networks (IJCNN)

作者： Md. Faijul Amin Ramasamy Savitha Muhammad Ilias Amin Kazuyuki Murase Department of Systems Design Engineering Graduate School of Engineering University of Fukui Fukui Japan School of Electrical and Electronics Engineering Nanyang Technological University Singapore Department of Computer Science and Engineering United International University Dhaka Bangladesh Research and Education Program for Life Science University of Fukui Fukui Japan

This paper presents a fully complex-valued functional link network (CFLN). The CFLN is a single-layered neural network, which introduces nonlinearity in the input layer using nonlinear functions of the original input variables. In this study, we consider multivariate polynomials as the nonlinear functions. Unlike multilayer neural networks, the CFLN is free from local minima problem, and it offers very fast learning in parameters because of its linear structure. In the complex domain, polynomial based CFLN has an additional advantage of not requiring activation functions, which is a major concern in the complex-valued neural networks. However, it is important to select a smaller subset of polynomial terms (monomials) for faster and better performance, since the number of all possible monomials may be quite large. In this paper, we use the orthogonal least squares method in a constructive fashion (starting from lower degree to higher) for the selection of a parsimonious subset of monomials. Simulation results demonstrate that computing CFLN in purely complex domain is advantageous than in double-dimensional real domain, in terms of number of connection parameters, faster design, and possibly generalization performance. Moreover, our proposed CFLN compares favorably with several other multilayer networks in the complex domain.

关键词： Polynomials Nonhomogeneous media Educational institutions Algorithm design and analysis Function approximation Neural networks Input variables

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Optimization of defect hole placement in resonant cavities

Optimization of defect hole placement in resonant cavities

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Conference on Lasers and Electro-Optics (CLEO)

作者： Christopher Kang Sharon M. Weiss Yurii A. Vlasov Solomon Assefa Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN USA Department of Electrical Engineering and Computer Science Vanderbilt University USA IBM T.J Watson Research Center Yorktown Heights NY USA

ISBN: (纸本)9781557529107

关键词： Cavity resonators Lattices Photonic crystals Optical waveguides Sensitivity Slabs Q factor

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Handling Failures of Static Sensor Nodes in Wireless Sensor Network by Use of Mobile Sensors

Handling Failures of Static Sensor Nodes in Wireless Sensor ...

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International Conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： Edison Pignaton de Freitas Tales Heimfarth Ivayr Farah Netto Carlos Eduardo Pereira Armando Morado Ferreira Flavio Rech Wagner Tony Larsson IDE Halmstad University Halmstad Sweden Institute of Informatics Federal University of Rio Grande do Sul Porto Alegre Brazil Computer Science Department Federal University of Lavras Lavras Brazil Electrical Engineering Department Federal University of Rio Grande do Sul Porto Alegre Brazil Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil

Node failures in Wireless Sensor Networks composed by static sensor nodes are common due to the nature of the sensor devices and the usually harsh environments in which they are deployed. Node failures can diminish the performance of the network as a whole, thus affecting its functionality in delivering the desired services. For instance, significant regions can become uncovered due to failure of several nearby nodes. This paper reports a study about the use of mobile sensor nodes acting in cooperation with static ones in order to fill gaps created by faulty static nodes. The proposed fault handling mechanism presents alternative policies with pros and cons, depending on the user priorities imposed to the system and the occurrence of failures. A discussion about this topic is presented based on results obtained by simulation of the proposed mechanisms.

关键词： Wireless sensor networks Mobile communication Surveillance Redundancy Sensors Proposals

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Granular approach for evolving system modeling

Granular approach for evolving system modeling

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13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010

作者： Leite, Daniel Costa Jr., Pyramo Gomide, Fernando School of Electrical and Computer Engineering University of Campinas Brazil Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Brazil

ISBN: (纸本)3642140483

In this paper we introduce a class of granular evolving system modeling approach within the framework of interval analysis. Our aim is to present an interval-based learning algorithm which develops both, granular and singular approximations of nonlinear nonstationary functions using singular data. The algorithm is capable of incrementally creating/adapting both model parameters and structure. These are key features in nonlinear systems modeling. In addition, interval analysis provides rigorous bounds on approximation errors, rounding errors, and on uncertainties in data propagated during computations. The learning algorithm is simple and particularly suited to process stream of data in real time. In this paper we focus on the foundations of the approach and on the details of the learning algorithm. An application concerning economic time series forecasting illustrates the usefulness and efficiency of the approach. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Learning algorithms

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Evolving granular neural network for semi-supervised data stream classification

Evolving granular neural network for semi-supervised data st...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Leite, Daniel Costa, Pyramo Gomide, Fernando Department of Computer Engineering and Automation Faculty of Electrical and Computer Engineering University of Campinas Sao Paulo Brazil Graduate Program in Electrical Engineering Catholic University of Minas Gerais Brazil

ISBN: (纸本)9781424469178

In this paper we introduce an adaptive fuzzy neural network framework for classification of data stream using a partially supervised learning algorithm. The framework consists of an evolving granular neural network capable of processing nonstationary data streams using a one-pass incremental algorithm. The granular neural network evolves fuzzy hyperboxes and uses nullnorm based neurons to classify data. The learning algorithm performs structural and parametric adaptation whenever environment changes are reflected in input data. It needs no prior statistical knowledge about data and classes. Computational experiments show that the fuzzy granular neural network is robust against different types of concept drift, and is able to handle unlabeled examples efficiently. © 2010 IEEE.

关键词： Learning algorithms

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Observation of exclusively He-induced H emission in cooled laser plasma

Observation of exclusively He-induced H emission in cooled l...

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作者： Lie, Z.S. Niki, H. Kagawa, K. Tjia, May On Hedwig, R. Pardede, M. Jobiliong, E. Suliyanti, M.M. Abdulmadjid, S.N. Kurniawan, K.H. Program of Nuclear Power and Energy Safety Engineering Graduate School of Engineering Fukui University Fukui 910-8507 Japan Department of Physics Faculty of Education and Regional Studies Fukui University 9-1 bunkyo 3-chome Fukui 910-8507 Japan Physics of Magnetism and Photonics Research Group Faculty of Mathematics and Natural Sciences Bandung Institute of Technology 10 Ganesha Bandung 40132 Indonesia Department of Computer Engineering Bina Nusantara University 9 K.H. Syahdan Jakarta 14810 Indonesia Department of Electrical Engineering University of Pelita Harapan 1100 M.H. Thamrin Boulevard Lippo Vilage Tangerang 15811 Indonesia Industrial Engineering Department University of Pelita Harapan 1100 M.H. Thamrin Boulevard Lippo Vilage Tangerang 15811 Indonesia Research Center for Physics Indonesian Institute of Sciences Kawasan PUSPIPTEK Serpong Tangerang Selatan 15314 Banten Indonesia Research Center of Maju Makmur Mandiri Foundation 40/80 Srengseng Raya Jakarta 11630 Indonesia

An experiment was performed for the observation of H emission induced in a cooled laser-induced atmospheric pressure gas plasma of He atoms in their metastable excited state. The strong H emission detected clearly established, to the exclusion of other well known major excitation processes, the exclusive contribution of the He-induced excitation (HIE) mechanism. The process is suggested to take place by means of energy transfer from the excited He atoms to the H atoms via Penning collision induced ionization involving electron exchange. The result further shows that this mechanism may also work for elements other than H and thereby strongly suggests the use of ambient He gas to broaden and complement the applications of standard laser-induced breakdown spectroscopy. © 2011 American Institute of Physics.

关键词： Laser induced breakdown spectroscopy

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Size-dependent infiltration and optical detection of nucleic acids in nanoscale pores

Size-dependent infiltration and optical detection of nucleic...

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作者： Lawrie, Jenifer L. Jiao, Yang Weiss, Sharon M. Department of Electrical Engineering and Computer Science Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN 37235 United States

Experiments and complimentary simulations are presented to demonstrate the size-dependent infiltration and detection of variable length nucleic acids in porous silicon with controllable pore diameters in the range of 15-60 nm. The pore diameter must be tuned according to target molecule size in order to most effectively balance sensitivity and size-exclusion. A quantitative relationship between pore size (15-60 nm), nucleic acid length (up to ~5.3 nm), and sensor response is presented with smallermolecules detected more sensitively in smaller pores as long as the pore diameter is sufficient to enable molecular infiltration and binding in the pores. The density of probe molecules on the pore walls and subsequent hybridization efficiency for targetmolecule binding are also reported and are shown to depend strongly on the method of infiltration as well as the target molecule size.© 2010 IEEE.

关键词： Porous silicon

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