Letteratura scientifica selezionata sul tema "Neural networks (Computer science)"
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Articoli di riviste sul tema "Neural networks (Computer science)"
Cottrell, G. W. "COMPUTER SCIENCE: New Life for Neural Networks". Science 313, n. 5786 (28 luglio 2006): 454–55. http://dx.doi.org/10.1126/science.1129813.
Testo completoLi, Xiao Guang. "Research on the Development and Applications of Artificial Neural Networks". Applied Mechanics and Materials 556-562 (maggio 2014): 6011–14. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6011.
Testo completoSchöneburg, E. "Neural networks hunt computer viruses". Neurocomputing 2, n. 5-6 (luglio 1991): 243–48. http://dx.doi.org/10.1016/0925-2312(91)90027-9.
Testo completoTurega, M. A. "Neural Networks". Computer Journal 35, n. 3 (1 giugno 1992): 290. http://dx.doi.org/10.1093/comjnl/35.3.290.
Testo completoWidrow, Bernard, David E. Rumelhart e Michael A. Lehr. "Neural networks". Communications of the ACM 37, n. 3 (marzo 1994): 93–105. http://dx.doi.org/10.1145/175247.175257.
Testo completoCavallaro, Lucia, Ovidiu Bagdasar, Pasquale De Meo, Giacomo Fiumara e Antonio Liotta. "Artificial neural networks training acceleration through network science strategies". Soft Computing 24, n. 23 (9 settembre 2020): 17787–95. http://dx.doi.org/10.1007/s00500-020-05302-y.
Testo completoKumar, G. Prem, e P. Venkataram. "Network restoration using recurrent neural networks". International Journal of Network Management 8, n. 5 (settembre 1998): 264–73. http://dx.doi.org/10.1002/(sici)1099-1190(199809/10)8:5<264::aid-nem298>3.0.co;2-o.
Testo completoYen, Gary G., e Haiming Lu. "Hierarchical Rank Density Genetic Algorithm for Radial-Basis Function Neural Network Design". International Journal of Computational Intelligence and Applications 03, n. 03 (settembre 2003): 213–32. http://dx.doi.org/10.1142/s1469026803000975.
Testo completoSIEGELMANN, HAVA T. "ON NIL: THE SOFTWARE CONSTRUCTOR OF NEURAL NETWORKS". Parallel Processing Letters 06, n. 04 (dicembre 1996): 575–82. http://dx.doi.org/10.1142/s0129626496000510.
Testo completoCerf, Vinton G. "On neural networks". Communications of the ACM 61, n. 7 (25 giugno 2018): 7. http://dx.doi.org/10.1145/3224195.
Testo completoTesi sul tema "Neural networks (Computer science)"
Landassuri, Moreno Victor Manuel. "Evolution of modular neural networks". Thesis, University of Birmingham, 2012. http://etheses.bham.ac.uk//id/eprint/3243/.
Testo completoSloan, Cooper Stokes. "Neural bus networks". Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119711.
Testo completoThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 65-68).
Bus schedules are unreliable, leaving passengers waiting and increasing commute times. This problem can be solved by modeling the traffic network, and delivering predicted arrival times to passengers. Research attempts to model traffic networks use historical, statistical and learning based models, with learning based models achieving the best results. This research compares several neural network architectures trained on historical data from Boston buses. Three models are trained: multilayer perceptron, convolutional neural network and recurrent neural network. Recurrent neural networks show the best performance when compared to feed forward models. This indicates that neural time series models are effective at modeling bus networks. The large amount of data available for training bus network models and the effectiveness of large neural networks at modeling this data show that great progress can be made in improving commutes for passengers.
by Cooper Stokes Sloan.
M. Eng.
Khan, Altaf Hamid. "Feedforward neural networks with constrained weights". Thesis, University of Warwick, 1996. http://wrap.warwick.ac.uk/4332/.
Testo completoZaghloul, Waleed A. Lee Sang M. "Text mining using neural networks". Lincoln, Neb. : University of Nebraska-Lincoln, 2005. http://0-www.unl.edu.library.unl.edu/libr/Dissertations/2005/Zaghloul.pdf.
Testo completoTitle from title screen (sites viewed on Oct. 18, 2005). PDF text: 100 p. : col. ill. Includes bibliographical references (p. 95-100 of dissertation).
Hadjifaradji, Saeed. "Learning algorithms for restricted neural networks". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0016/NQ48102.pdf.
Testo completoCheung, Ka Kit. "Neural networks for optimization". HKBU Institutional Repository, 2001. http://repository.hkbu.edu.hk/etd_ra/291.
Testo completoAhamed, Woakil Uddin. "Quantum recurrent neural networks for filtering". Thesis, University of Hull, 2009. http://hydra.hull.ac.uk/resources/hull:2411.
Testo completoWilliams, Bryn V. "Evolutionary neural networks : models and applications". Thesis, Aston University, 1995. http://publications.aston.ac.uk/10635/.
Testo completoDe, Jongh Albert. "Neural network ensembles". Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50035.
Testo completoENGLISH ABSTRACT: It is possible to improve on the accuracy of a single neural network by using an ensemble of diverse and accurate networks. This thesis explores diversity in ensembles and looks at the underlying theory and mechanisms employed to generate and combine ensemble members. Bagging and boosting are studied in detail and I explain their success in terms of well-known theoretical instruments. An empirical evaluation of their performance is conducted and I compare them to a single classifier and to each other in terms of accuracy and diversity.
AFRIKAANSE OPSOMMING: Dit is moontlik om op die akkuraatheid van 'n enkele neurale netwerk te verbeter deur 'n ensemble van diverse en akkurate netwerke te gebruik. Hierdie tesis ondersoek diversiteit in ensembles, asook die meganismes waardeur lede van 'n ensemble geskep en gekombineer kan word. Die algoritmes "bagging" en "boosting" word in diepte bestudeer en hulle sukses word aan die hand van bekende teoretiese instrumente verduidelik. Die prestasie van hierdie twee algoritmes word eksperimenteel gemeet en hulle akkuraatheid en diversiteit word met 'n enkele netwerk vergelyk.
Nareshkumar, Nithyalakshmi. "Simulataneous versus Successive Learning in Neural Networks". Miami University / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=miami1134068959.
Testo completoLibri sul tema "Neural networks (Computer science)"
Picton, Philip. Neural networks. New York: Palgrave, 2000.
Cerca il testo completoAbdi, Hervé. Neural networks. Thousand Oaks, Calif: Sage Publications, 1999.
Cerca il testo completo1931-, Taylor John, e UNICOM Seminars, a cura di. Neural networks. Henley-on-Thames: A. Waller, 1995.
Cerca il testo completoBischof, Horst. Pyramidal neural networks. Mahwah, NJ: Lawrence Erlbaum Associates, 1995.
Cerca il testo completoSkapura, David M. Building neural networks. New York, N.Y: ACM Press, 1996.
Cerca il testo completo1948-, Vandewalle J., e Roska T, a cura di. Cellular neural networks. Chichester [England]: Wiley, 1993.
Cerca il testo completoKwon, Seoyun J. Artificial neural networks. Hauppauge, N.Y: Nova Science Publishers, 2010.
Cerca il testo completoMaass, Wolfgang, 1949 Aug. 21- e Bishop Christopher M, a cura di. Pulsed neural networks. Cambridge, Mass: MIT Press, 1999.
Cerca il testo completoHoffmann, Norbert. Simulating neural networks. Wiesbaden: Vieweg, 1994.
Cerca il testo completoCaudill, Maureen. Understanding neural networks: Computer explorations. Cambridge, Mass: MIT Press, 1993.
Cerca il testo completoCapitoli di libri sul tema "Neural networks (Computer science)"
ElAarag, Hala. "Neural Networks". In SpringerBriefs in Computer Science, 11–16. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4893-7_3.
Testo completoSiegelmann, Hava T. "Recurrent neural networks". In Computer Science Today, 29–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/bfb0015235.
Testo completoErtel, Wolfgang. "Neural Networks". In Undergraduate Topics in Computer Science, 221–56. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-299-5_9.
Testo completoErtel, Wolfgang. "Neural Networks". In Undergraduate Topics in Computer Science, 245–87. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58487-4_9.
Testo completoFeldman, Jerome A. "Neural Networks and Computer Science". In Opportunities and Constraints of Parallel Computing, 37–38. New York, NY: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-9668-0_10.
Testo completoKruse, Rudolf, Christian Borgelt, Christian Braune, Sanaz Mostaghim e Matthias Steinbrecher. "General Neural Networks". In Texts in Computer Science, 37–46. London: Springer London, 2016. http://dx.doi.org/10.1007/978-1-4471-7296-3_4.
Testo completoKruse, Rudolf, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher e Pascal Held. "General Neural Networks". In Texts in Computer Science, 37–46. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5013-8_4.
Testo completoKruse, Rudolf, Sanaz Mostaghim, Christian Borgelt, Christian Braune e Matthias Steinbrecher. "General Neural Networks". In Texts in Computer Science, 39–52. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-42227-1_4.
Testo completoBetti, Alessandro, Marco Gori e Stefano Melacci. "Foveated Neural Networks". In SpringerBriefs in Computer Science, 63–72. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90987-1_4.
Testo completoBetti, Alessandro, Marco Gori e Stefano Melacci. "Foveated Neural Networks". In SpringerBriefs in Computer Science, 63–72. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90987-1_4.
Testo completoAtti di convegni sul tema "Neural networks (Computer science)"
Doncow, Sergey, Leonid Orbachevskyi, Valentin Birukow e Nina V. Stepanova. "Artificial Kohonen's neural networks for computer capillarometry". In Optical Information Science and Technology, a cura di Andrei L. Mikaelian. SPIE, 1998. http://dx.doi.org/10.1117/12.304962.
Testo completoShastri, Bhavin J., Volker Sorger e Nir Rotenberg. "In situ Training of Silicon Photonic Neural Networks: from Classical to Quantum". In CLEO: Science and Innovations. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_si.2023.sm4j.1.
Testo completoNowak, Jakub, Marcin Korytkowski e Rafał Scherer. "Classification of Computer Network Users with Convolutional Neural Networks". In 2018 Federated Conference on Computer Science and Information Systems. IEEE, 2018. http://dx.doi.org/10.15439/2018f321.
Testo completoDias, L. P., J. J. F. Cerqueira, K. D. R. Assis e R. C. Almeida. "Using artificial neural network in intrusion detection systems to computer networks". In 2017 9th Computer Science and Electronic Engineering (CEEC). IEEE, 2017. http://dx.doi.org/10.1109/ceec.2017.8101615.
Testo completoAraújo, Georger, e Célia Ralha. "Computer Forensic Document Clustering with ART1 Neural Networks". In The Sixth International Conference on Forensic Computer Science. ABEAT, 2011. http://dx.doi.org/10.5769/c2011011.
Testo completoWang, Huiran, e Ruifang Ma. "Optimization of Neural Networks for Network Intrusion Detection". In 2009 First International Workshop on Education Technology and Computer Science. IEEE, 2009. http://dx.doi.org/10.1109/etcs.2009.102.
Testo completoSakas, D. P., D. S. Vlachos, T. E. Simos, Theodore E. Simos e George Psihoyios. "Fuzzy Neural Networks for Decision Support in Negotiation". In INTERNATIONAL ELECTRONIC CONFERENCE ON COMPUTER SCIENCE. AIP, 2008. http://dx.doi.org/10.1063/1.3037115.
Testo completo"Speech Emotion Recognition using Convolutional Neural Networks and Recurrent Neural Networks with Attention Model". In 2019 the 9th International Workshop on Computer Science and Engineering. WCSE, 2019. http://dx.doi.org/10.18178/wcse.2019.06.044.
Testo completoMendez, Arturo J., Emilio G. Rosello, Maria J. Lado, Jacinto G. Dacosta, David M. Torres e Manuel P. Cota. "IMO.Net Artificial Neural Networks: an object-oriented reusable software component library to integrate Matlab Neural Networks functionality". In Proceedings. 7th Mexican International Conference on Computer Science. IEEE, 2006. http://dx.doi.org/10.1109/enc.2006.18.
Testo completoMiao, Lihua. "Chaotifiation of Cardiac Dynamics Based on Fuzzy BP Neural Networks". In Computer Science and Technology 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.81.17.
Testo completoRapporti di organizzazioni sul tema "Neural networks (Computer science)"
Markova, Oksana, Serhiy Semerikov e Maiia Popel. СoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics”. Sun SITE Central Europe, maggio 2018. http://dx.doi.org/10.31812/0564/2250.
Testo completoSemerikov, Serhiy, Illia Teplytskyi, Yuliia Yechkalo, Oksana Markova, Vladimir Soloviev e Arnold Kiv. Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back. [б. в.], giugno 2019. http://dx.doi.org/10.31812/123456789/3178.
Testo completoGrossberg, Stephen. Instrumentation for Scientific Computing in Neural Networks, Information Science, Artificial Intelligence, and Applied Mathematics. Fort Belvoir, VA: Defense Technical Information Center, ottobre 1987. http://dx.doi.org/10.21236/ada189981.
Testo completoSemerikov, Serhiy O., Illia O. Teplytskyi, Yuliia V. Yechkalo e Arnold E. Kiv. Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. [б. в.], novembre 2018. http://dx.doi.org/10.31812/123456789/2648.
Testo completoFarhi, Edward, e Hartmut Neven. Classification with Quantum Neural Networks on Near Term Processors. Web of Open Science, dicembre 2020. http://dx.doi.org/10.37686/qrl.v1i2.80.
Testo completoWillson. L51756 State of the Art Intelligent Control for Large Engines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), settembre 1996. http://dx.doi.org/10.55274/r0010423.
Testo completoModlo, Yevhenii O., Serhiy O. Semerikov, Ruslan P. Shajda, Stanislav T. Tolmachev e Oksana M. Markova. Methods of using mobile Internet devices in the formation of the general professional component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], luglio 2020. http://dx.doi.org/10.31812/123456789/3878.
Testo completoSAINI, RAVINDER, AbdulKhaliq Alshadid e Lujain Aldosari. Investigation on the application of artificial intelligence in prosthodontics. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, dicembre 2022. http://dx.doi.org/10.37766/inplasy2022.12.0096.
Testo completoJohansen, Richard, Alan Katzenmeyer, Kaytee Pokrzywinski e Molly Reif. A review of sensor-based approaches for monitoring rapid response treatments of cyanoHABs. Engineer Research and Development Center (U.S.), luglio 2023. http://dx.doi.org/10.21079/11681/47261.
Testo completoSeginer, Ido, James Jones, Per-Olof Gutman e Eduardo Vallejos. Optimal Environmental Control for Indeterminate Greenhouse Crops. United States Department of Agriculture, agosto 1997. http://dx.doi.org/10.32747/1997.7613034.bard.
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