Academic literature on the topic 'Hyperbox'
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Journal articles on the topic "Hyperbox"
Liu, Hongbing, Xiaoyu Diao, and Huaping Guo. "Nonparametric Hyperbox Granular Computing Classification Algorithms." Information 10, no. 2 (February 24, 2019): 76. http://dx.doi.org/10.3390/info10020076.
Full textRamos, Guilherme N., Fangyan Dong, and Kaoru Hirota. "HACO2 Method for Evolving Hyperbox Classifiers with Ant Colony Optimization." Journal of Advanced Computational Intelligence and Intelligent Informatics 13, no. 3 (May 20, 2009): 338–46. http://dx.doi.org/10.20965/jaciii.2009.p0338.
Full textLiu, Hongbing, Fan Zhang, Ran Li, and Chang-an Wu. "Isolation-based hyperbox granular classification computing." Journal of Algorithms & Computational Technology 11, no. 2 (November 29, 2016): 110–25. http://dx.doi.org/10.1177/1748301816676818.
Full textChen, Yue, Jian Shi, and Xiao-jian Yi. "A Globally Optimal Robust Design Method for Complex Systems." Complexity 2020 (May 11, 2020): 1–25. http://dx.doi.org/10.1155/2020/3697161.
Full textBortolan, Giovanni, and Witold Pedrycz. "Hyperbox classifiers for arrhythmia classification." Kybernetes 36, no. 3/4 (April 17, 2007): 531–47. http://dx.doi.org/10.1108/03684920710747129.
Full textBargiela, Andrzej, Witold Pedrycz, and Masahiro Tanaka. "An inclusion/exclusion fuzzy hyperbox classifier." International Journal of Knowledge-based and Intelligent Engineering Systems 8, no. 2 (August 24, 2004): 91–98. http://dx.doi.org/10.3233/kes-2004-8204.
Full textJanairo, Jose Isagani B., Kathleen B. Aviso, Michael Angelo B. Promentilla, and Raymond R. Tan. "Enhanced Hyperbox Classifier Model for Nanomaterial Discovery." AI 1, no. 2 (June 17, 2020): 299–311. http://dx.doi.org/10.3390/ai1020020.
Full textLiu, Hongbing, Huaping Guo, and Chang-an Wu. "Hyperbox Granular Computing Based on Distance Measure." International Journal of Control and Automation 9, no. 1 (January 31, 2016): 1–10. http://dx.doi.org/10.14257/ijca.2016.9.1.01.
Full textLiu, Jinhai, Zhibo Yu, and Dazhong Ma. "An Adaptive Fuzzy Min-Max Neural Network Classifier Based on Principle Component Analysis and Adaptive Genetic Algorithm." Mathematical Problems in Engineering 2012 (2012): 1–21. http://dx.doi.org/10.1155/2012/483535.
Full textEastwood, Mark, and Chrisina Jayne. "Evaluation of hyperbox neural network learning for classification." Neurocomputing 133 (June 2014): 249–57. http://dx.doi.org/10.1016/j.neucom.2013.11.011.
Full textDissertations / Theses on the topic "Hyperbox"
Newbold, David Michael. "Inclusive hyperon polarisation studies at the CERN SPS hyperon beam." Thesis, University of Bristol, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265386.
Full textHorrell, Matthew Aaron. "Epic hyperbole in Homer." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5777.
Full textBaker, Charla Bezdek András. "Triangle centers and Kiepert's hyperbola." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Fall/Theses/BAKER_CHARLA_6.pdf.
Full textMachado, Lucas Corrêa Netto. "Método de segmentações geométricas sucessivas para treinamento de redes neurais artificiais." Universidade Federal de Juiz de Fora (UFJF), 2013. https://repositorio.ufjf.br/jspui/handle/ufjf/4164.
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CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Este trabalho apresenta uma técnica para treinamento de Redes Neurais Artificiais (RNA), capaz de obter os parâmetros da rede através dos dados disponíveis para treinamento, sem necessidade de estabelecer a arquitetura da rede a priori, denominado Método de Segmentações Geométricas Sucessivas (MSGS). O MSGS agrupa os dados de cada classe em Hipercaixa (HC) onde cada caixa é alinhada de acordo com os eixos de maior distribuição de seu conjunto de pontos. Sendo as caixas linearmente separáveis, um hiperplano de separação é identificado originando um neurônio. Caso não seja possível a separação por um único hiperplano, uma técnica de quebra é aplicada para dividir os dados em classes menores para obter novas HCs. Para cada subdivisão novos neurônios são adicionados à rede. Os resultados dos testes realizados apontam para um método rápido e com alta taxa de sucesso.
This work presents a technique for Artificial Neural Network (ANN) training, able to get the network parameters from the available data for training, without establishing the network architecture a priori, called Successive Geometric Segmentation Method (SGSM). The SGSM groups the data of each class into hyperboxes (HB) aligned in accordance with the largest axis of its points distribution. If the HB are linearly separable, a separating hyperplane may be identified resulting a neuron. If it is not, a segmentation technique is applied to divide the data into smaller classes for new HB. For each subdivision new neurons are added to the network. The tests show a rapid method with high success rate.
Klavetter, James Jay. "The observed chaotic rotation of Hyperion." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/54331.
Full textIncludes bibliographical references (leaves 65-68).
by James Jay Klavetter.
Sc.D.
Navarro, Aliste Daniela. "Miltonic influence in John Keats: creative process of reshaping myths in Hyperion and The fall of Hyperion: a dream." Tesis, Universidad de Chile, 2016. http://repositorio.uchile.cl/handle/2250/137777.
Full textHeikkilä, Annele. "Studies of Light Hyperon Decay Parameters." Thesis, Uppsala universitet, Kärnfysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388602.
Full textEtt grundantagande inom den fundamentala fysiken är att lika stora mängder av materia och antimateria skapades efter Big Bang. När partiklar och antipartiklar kolliderar, annihilerar de, dvs försvinner och producerar fotoner. Trots detta består dagens universum huvudsakligen av materia. För att förklara varför all materia inte försvann krävs ett brott mot CP-symmetrin bakom standardmodellen. CP-symmetrin innebär att fysikens lagar är desamma om man byter partiklar mot antipartiklar och speglar partikelns rumsliga koordinater. CP-symmetri i baryonsönderfall är relativt dåligt testad. En ny metod för att studera CP-symmetrin har utvecklats vid Uppsala universitet för hyperon-antihyperon par. Hyperoner är baryoner med en eller fler särkvarkar. Metoden gör det möjligt att bestämma asymmetriparametrar hos hyperon- och antihyperonsönderfall separat om hyperonantihyperonparet är polariserat. Om en signifikant skillnad mellan värden av dessa parametrar upptäcks, är processen CP-brytande. Partikelfysikexperimentet BESIII i Kina är ett lämpligt experiment för sådana här mätningar eftersom det är ett högpresicionsexperiment och har dessutom samlat in stora mängder data av hyperon-antihyperonpar. Målet för detta projekt har varit att studera de statistiska precisioner av fysikparametrar som kan nås när man använder den nya metoden i de fall där J/ψ mesonen sönderfaller till ΛΛ, Σ+Σ− och Σ0Σ0. Hög statistisk precision behövs för att upptäcka CP-brott, eftersom CP-brytande processer, om de existerar, är relativt sällsynta. Huvudfokuset var att studera processen e+e− → J/ψ → Σ0Σ0 → ΛγΛγ → pπ−γpπ+γ. I denna process kan CP-symmetri testas för två sönderfallsprocesser: det elektromagnetiska sönderfallet Σ0 → Λγ och det svaga sönderfallet Λ → pπ−. I denna rapport studerades bara asymmetriparametrarna av Λ → pπ−. Detta arbete har fungerat som validitetskontroll av den nya metoden och pågående analyser på BESIII. Den statistiska precisionen undersöktes med simuleringar: Monte Carlo datamängder skapades och sedan en maximum-log-likelihood-anpassning av datan genomfördes. En viktig komponent i bestämningen av asymmetriparametrarna visade sig vara den relativa fasen, ∆φJ/ψ. Den relativa fasen är en av de parametrar som används för att bestämma relationen mellan de elektriska och magnetiska formfaktorer. ∆φJ/ψ är också relaterad till hyperonens hyperon-antihyperonparets polarisation. I forskningsprojektet visades att ∆φJ/ψ har en stor inverkan på osäkerheterna av hyperon- och antihyperonasymmetriparametrarna. Ett lågt värde av ∆φJ/ψ resulterade i stora osäkerheter och starka korrelationer mellan asymmetriparametrarna. Formalismen är annorlunda för olika processer, vilket också påverkar osäkerheterna. Formalismen som används för Σ0Σ0-processen ger sämre parameterprecision av asymmetriparametern kopplad till sönderfallet Λ → pπ− än formalismen som används för ΛΛ-processen. Därför är ΛΛ-processen en mycket lämpligare process för att testa CP-symmetrin i Λ → pπ− sönderfallet.
Hjelm, Alexandra. "Patienters upplevelser av att behandlas med hyperbar oxygen." Thesis, Halmstad University, School of Social and Health Sciences (HOS), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1205.
Full textI denna litteraturstudie granskades 4 vetenskapliga artiklar med syfte att undersöka patienters upplevelser av hyperbar oxygenbehandling (HBO behandling) för att lyfta fram vad man som omvårdnadspersonal bör ha i åtanke inför initiala behandlingar. HBO behandling är en behandlingsmetod där koncentrerad oxygen administreras till patienter. Behandling med HBO får ofta pågå under längre tid för att uppnå läkande effekter i exempelvis fall av hypoxiska svårläkta sår. Ett av de initiala problem som kan ge obehagskänslor är att behandlingen tar plats i tryckkammare, vilket för många är en främmande miljö. Flertalet patienter har av denna anledning valt att avstå ifrån behandling. Inför behandling är även oro vanligt hos omkring hälften av tillfrågade patienter. Väl under behandling beskrivs tristess och ovissheten av behandlingens resultat som problem. Fortsatta studier om HBO behandling skulle kunna öka kunskapen om patienters upplevelser och eventuell oro. Denna kunskap skulle i sin tur omvårdnadspersonalen kunna använda för att genom omvårdnadshandling minska eventuella obehag av HBO behandling.
Böcker, Matthias. "Messung der transversalen L-Polarisation [Lambda-Polarisation] mit dem HERA-B-Detektor." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=971196591.
Full textWendisch, Christian. "Hyperon-Produktion und -Polarisation in der Reaktion p (3,5 GeV) + Nb mit HADES." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-158395.
Full textWith the dielectron spectrometer HADES, located at the GSI Helmholtzzentrum für Schwerionenforschung in Darmstadt, p + Nb reactions at a kinetic beam energy of 3.5 GeV were measured to study the behavior of nuclear matter. Although primarily designed for the detection of rare leptonic decays of the light vector mesons ρ, ω and φ, the spectrometer renders itself very well suited for the investigation of hadrons, due to its excellent tracking capability. This thesis presents results of the production and polarization of strange Λ hyperons in about 4.2 billion reactions of p + Nb recorded in 2008. In contrast to theoretical expectations, the polarized production of hyperons was observed in 1976 for the first time in nuclear reactions with unpolarized beams. Based on the fundamental properties of strong interaction, to date no single explanation exists describing all dependencies of the observed hyperon polarization. Therefore, common theoretical models of hyperon polarization are introduced. Acting as a natural polarimeter, the Λ hyperon represents an excellent tool to study the phenomenon of hyperon polarization especially in reactions with unpolarized beams and targets. Hence, the experimental technique for extracting the polarization using the weak decay of the Λ hyperon is explained. Due to a large solid angle coverage, HADES allows for the reconstruction of hadrons within a wide phase space range. Consequently, a double-differential analysis of the polarization and production probability as a function of transverse momentum pt and rapidity y is performed. In total, 1.1 million Λ hyperons are reconstructed and corrected for detector acceptance and efficiency. The inverse slope parameter TB is extracted from transverse mass spectra. Its rapidity dependence TB (y) shows a maximum of 90 MeV at y = 1, i.e. below the center-of-mass rapidity of the nucleon-nucleon collision ycm = 1.12, and a stronger decrease to lower rapidities than particles in thermal equilibrium. The Λ rapidity density shows an asymmetric distribution, shifted towards target rapidity, which is probably caused by multiple scattering on target nucleons. Extrapolated to the full phase space, the total multiplicity of 0.018 ± 0.004 Λ hyperons per event satisfies strangeness conservati- 0 on on average. For that purpose, the Ks production rate from another analysis and ratios to the other, unmeasured, strange hadrons, derived from transport simulations, are taken into account. Furthermore, the Λ hyperon shows a significant negative polarization perpendicular to its production plane, which amounts to Px = (−10.6 ± 1.3) % averaged over the phase space accessible to HADES. The measured Λ polarization increases almost linearly with increasing transverse momentum pt , according to Px (pt ) = (−0.19 ± 0.02) (GeV/c)−1 pt . In order to spot details on the dynamics of hyperon production in proton-nucleus reactions, the results on Λ polarization and phase space distribution are compared to those of similar reactions. Additionally, a systematic investigation with transport model simulations is performed. The experimental distributions can not be reproduced sufficiently well by the presently available GiBUU and URQMD models. Moreover, an outlook on further studies of strangeness production in nucleon-nucleus collisions by reconstruction of Ξ− hyperons and φ mesons is given
Books on the topic "Hyperbox"
Morgante iperbolico: L'iperbole nel Morgante di Luigi Pulci. Firenze: Leo S. Olschki, 1993.
Find full textBook chapters on the topic "Hyperbox"
Terada, Yoshikazu, and Hiroshi Yadohisa. "Multidimensional Scaling with Hyperbox Model for Percentile Dissimilarities." In Intelligent Decision Technologies, 779–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22194-1_77.
Full textChyzhyk, Darya, and Manuel Graña. "Optimal Hyperbox Shrinking in Dendritic Computing Applied to Alzheimer’s Disease Detection in MRI." In Advances in Intelligent and Soft Computing, 543–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19644-7_57.
Full textReitani, Luigi. "Hyperion." In Hölderlin-Handbuch, 195–213. Stuttgart: J.B. Metzler, 2020. http://dx.doi.org/10.1007/978-3-476-04878-3_21.
Full textGooch, Jan W. "Hyperon." In Encyclopedic Dictionary of Polymers, 378. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_6173.
Full textPeterson, Ivars. "Hyperion torkelt." In Was Newton nicht wußte, 229–54. Basel: Birkhäuser Basel, 1994. http://dx.doi.org/10.1007/978-3-0348-6062-8_9.
Full textBay, Hansjörg. "Hyperion ambivalent." In Hyperion — terra incognita, 66–93. Wiesbaden: VS Verlag für Sozialwissenschaften, 1998. http://dx.doi.org/10.1007/978-3-322-87304-0_3.
Full textJenks, Richard D., and Robert S. Sutor. "Using HyperDoc." In axịom™, 93–98. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2940-7_5.
Full textRijken, Th A. "The Soft-Core Nijmegen Hyperon-Nucleon and Hyperon-Hyperon Interactions." In Few-Body Problems in Physics ’99, 317–23. Vienna: Springer Vienna, 2000. http://dx.doi.org/10.1007/978-3-7091-6287-3_55.
Full textNurushev, Sandibek B., Mikhail F. Runtso, and Mikhail N. Strikhanov. "Hyperon Polarization." In Introduction to Polarization Physics, 343–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32163-4_10.
Full textNägele, Rainer. "Andenken an Hyperion." In Hyperion — terra incognita, 17–38. Wiesbaden: VS Verlag für Sozialwissenschaften, 1998. http://dx.doi.org/10.1007/978-3-322-87304-0_1.
Full textConference papers on the topic "Hyperbox"
Bortolan, G., I. I. Christov, and W. Pedrycz. "Hyperbox classifiers for ECG beat analysis." In 2007 34th Annual Computers in Cardiology Conference. IEEE, 2007. http://dx.doi.org/10.1109/cic.2007.4745442.
Full textPark, Byoung-Jun, Eun-Hye Jang, Sang-Hyeob Kim, and Myung-Ae Chung. "A study on hyperbox classifier with domino extension in pattern recognition: Hyperbox driven classifier in pattern recognition." In 2014 International Conference on Information Science, Electronics and Electrical Engineering (ISEEE). IEEE, 2014. http://dx.doi.org/10.1109/infoseee.2014.6946188.
Full textAzad, Chandrashekhar, Ashok Kumar Mehta, and Vijay Kumar Jha. "Improved Data Classification using Fuzzy Euclidean Hyperbox Classifier." In 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE). IEEE, 2018. http://dx.doi.org/10.1109/icscee.2018.8538389.
Full textChangping, Sun. "A methodology for the description of dynamical systems in hyperbox space." In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2016. http://dx.doi.org/10.1109/fuzz-ieee.2016.7737889.
Full textOdhner, Jefferson E. "Covert ground and port surveillance using Hyperbox®: Rayleigh backscattering from fiber optics." In 2016 International Carnahan Conference on Security Technology (ICCST). IEEE, 2016. http://dx.doi.org/10.1109/ccst.2016.7815726.
Full textOdhner, Jefferson E. "Covert ground and port surveillance using Hyperbox®: Rayleigh backscattering from fiber optics." In 2016 IEEE Symposium on Technologies for Homeland Security (HST). IEEE, 2016. http://dx.doi.org/10.1109/ths.2016.7568960.
Full textWang, Chao, Jun Zhou, Haoqian Huang, and Hanyi Shen. "Classification Algorithms for Unbalanced High-Dimensional Data with Hyperbox Vertex Over-Sampling Iterative Support Vector Machine Approach." In 2020 Chinese Control And Decision Conference (CCDC). IEEE, 2020. http://dx.doi.org/10.1109/ccdc49329.2020.9164585.
Full textLeyva, Horacio, and Julio Solis-Daun. "Global CLF stabilization of systems with respect to a hyperbox, allowing the null-control input in its boundary (positive controls)." In 2014 IEEE 53rd Annual Conference on Decision and Control (CDC). IEEE, 2014. http://dx.doi.org/10.1109/cdc.2014.7039868.
Full textEscriva, Robert, Bernard Wong, and Emin Gün Sirer. "HyperDex." In the ACM SIGCOMM 2012 conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2342356.2342360.
Full textHild, Stefan G., and Alexandra Poulovassilis. "Hyperlog." In the workshop. New York, New York, USA: ACM Press, 1996. http://dx.doi.org/10.1145/948449.948491.
Full textReports on the topic "Hyperbox"
Cooper, P. S. Hyperon beam physics. Office of Scientific and Technical Information (OSTI), March 1996. http://dx.doi.org/10.2172/212678.
Full textZiegler, Veronique, and /Iowa U. Hyperon AND Hyperon Resonance Properties From Charm Baryon Decays At BaBar. Office of Scientific and Technical Information (OSTI), July 2007. http://dx.doi.org/10.2172/909548.
Full textSinha, Kumares, Bob McCullouch, and Darcy Bullock. Evaluation of INDOT Hyperfix Project. West Lafayette, IN: Purdue University, 2004. http://dx.doi.org/10.5703/1288284313209.
Full textJoseph T. Lach. E781 Hyperon Spectrometer Constants. Office of Scientific and Technical Information (OSTI), May 2004. http://dx.doi.org/10.2172/823428.
Full textBarnes, P. D., P. Birien, B. E. Bonner, W. Breunlich, G. Diebold, W. Dutty, R. A. Eisenstein, G. Ericsson, W. Eyrich, and R. von Frankenberg. Hyperon production with antiprotons. Office of Scientific and Technical Information (OSTI), January 1989. http://dx.doi.org/10.2172/5897900.
Full textChang, Darwin. Challenges in Hyperon Decays. Office of Scientific and Technical Information (OSTI), November 2000. http://dx.doi.org/10.2172/784788.
Full textChang, Darwin. Challenges in Hyperon Decays. Office of Scientific and Technical Information (OSTI), November 2000. http://dx.doi.org/10.2172/784818.
Full textMerchant, Bion John. Hyperion 5113/A Infrasound Sensor Evaluation. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1221711.
Full textPoston, David I., and Patrick R. McClure. Materials Selections for the Hyperion Reactor. Office of Scientific and Technical Information (OSTI), May 2013. http://dx.doi.org/10.2172/1082243.
Full textMerchant, Bion J. Hyperion 5113/GP Infrasound Sensor Evaluation. Office of Scientific and Technical Information (OSTI), August 2015. http://dx.doi.org/10.2172/1213302.
Full text