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Статті в журналах з теми "Neural networks (Computer science)"
Mijwel, Maad M., Adam Esen, and Aysar Shamil. "Overview of Neural Networks." Babylonian Journal of Machine Learning 2023 (August 11, 2023): 42–45. http://dx.doi.org/10.58496/bjml/2023/008.
Повний текст джерелаCottrell, G. W. "COMPUTER SCIENCE: New Life for Neural Networks." Science 313, no. 5786 (July 28, 2006): 454–55. http://dx.doi.org/10.1126/science.1129813.
Повний текст джерелаLi, Xiao Guang. "Research on the Development and Applications of Artificial Neural Networks." Applied Mechanics and Materials 556-562 (May 2014): 6011–14. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6011.
Повний текст джерелаSchöneburg, E. "Neural networks hunt computer viruses." Neurocomputing 2, no. 5-6 (July 1991): 243–48. http://dx.doi.org/10.1016/0925-2312(91)90027-9.
Повний текст джерелаTurega, M. A. "Neural Networks." Computer Journal 35, no. 3 (June 1, 1992): 290. http://dx.doi.org/10.1093/comjnl/35.3.290.
Повний текст джерелаWidrow, Bernard, David E. Rumelhart, and Michael A. Lehr. "Neural networks." Communications of the ACM 37, no. 3 (March 1994): 93–105. http://dx.doi.org/10.1145/175247.175257.
Повний текст джерелаBegum, Afsana, Md Masiur Rahman, and Sohana Jahan. "Medical diagnosis using artificial neural networks." Mathematics in Applied Sciences and Engineering 5, no. 2 (June 4, 2024): 149–64. http://dx.doi.org/10.5206/mase/17138.
Повний текст джерелаYen, Gary G., and Haiming Lu. "Hierarchical Rank Density Genetic Algorithm for Radial-Basis Function Neural Network Design." International Journal of Computational Intelligence and Applications 03, no. 03 (September 2003): 213–32. http://dx.doi.org/10.1142/s1469026803000975.
Повний текст джерелаCavallaro, Lucia, Ovidiu Bagdasar, Pasquale De Meo, Giacomo Fiumara, and Antonio Liotta. "Artificial neural networks training acceleration through network science strategies." Soft Computing 24, no. 23 (September 9, 2020): 17787–95. http://dx.doi.org/10.1007/s00500-020-05302-y.
Повний текст джерелаKumar, G. Prem, and P. Venkataram. "Network restoration using recurrent neural networks." International Journal of Network Management 8, no. 5 (September 1998): 264–73. http://dx.doi.org/10.1002/(sici)1099-1190(199809/10)8:5<264::aid-nem298>3.0.co;2-o.
Повний текст джерелаДисертації з теми "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/.
Повний текст джерелаSloan, Cooper Stokes. "Neural bus networks." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119711.
Повний текст джерелаThis 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/.
Повний текст джерелаZaghloul, 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.
Повний текст джерелаTitle 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.
Повний текст джерелаCheung, Ka Kit. "Neural networks for optimization." HKBU Institutional Repository, 2001. http://repository.hkbu.edu.hk/etd_ra/291.
Повний текст джерелаAhamed, Woakil Uddin. "Quantum recurrent neural networks for filtering." Thesis, University of Hull, 2009. http://hydra.hull.ac.uk/resources/hull:2411.
Повний текст джерелаWilliams, Bryn V. "Evolutionary neural networks : models and applications." Thesis, Aston University, 1995. http://publications.aston.ac.uk/10635/.
Повний текст джерелаDe, Jongh Albert. "Neural network ensembles." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50035.
Повний текст джерелаENGLISH 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.
Lee, Ji Young Ph D. Massachusetts Institute of Technology. "Information extraction with neural networks." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111905.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 85-97).
Electronic health records (EHRs) have been widely adopted, and are a gold mine for clinical research. However, EHRs, especially their text components, remain largely unexplored due to the fact that they must be de-identified prior to any medical investigation. Existing systems for de-identification rely on manual rules or features, which are time-consuming to develop and fine-tune for new datasets. In this thesis, we propose the first de-identification system based on artificial neural networks (ANNs), which achieves state-of-the-art results without any human-engineered features. The ANN architecture is extended to incorporate features, further improving the de-identification performance. Under practical considerations, we explore transfer learning to take advantage of large annotated dataset to improve the performance on datasets with limited number of annotations. The ANN-based system is publicly released as an easy-to-use software package for general purpose named-entity recognition as well as de-identification. Finally, we present an ANN architecture for relation extraction, which ranked first in the SemEval-2017 task 10 (ScienceIE) for relation extraction in scientific articles (subtask C).
by Ji Young Lee.
Ph. D.
Книги з теми "Neural networks (Computer science)"
Dominique, Valentin, and Edelman Betty, eds. Neural networks. Thousand Oaks, Calif: Sage Publications, 1999.
Знайти повний текст джерела1931-, Taylor John, and UNICOM Seminars, eds. Neural networks. Henley-on-Thames: A. Waller, 1995.
Знайти повний текст джерела1948-, Vandewalle J., and Roska T, eds. Cellular neural networks. Chichester [England]: Wiley, 1993.
Знайти повний текст джерелаBischof, Horst. Pyramidal neural networks. Mahwah, NJ: Lawrence Erlbaum Associates, 1995.
Знайти повний текст джерелаKwon, Seoyun J. Artificial neural networks. Hauppauge, N.Y: Nova Science Publishers, 2010.
Знайти повний текст джерелаHoffmann, Norbert. Simulating neural networks. Wiesbaden: Vieweg, 1994.
Знайти повний текст джерелаMaass, Wolfgang, 1949 Aug. 21- and Bishop Christopher M, eds. Pulsed neural networks. Cambridge, Mass: MIT Press, 1999.
Знайти повний текст джерелаCaudill, Maureen. Understanding neural networks: Computer explorations. Cambridge, Mass: MIT Press, 1993.
Знайти повний текст джерелаHu, Xiaolin, and P. Balasubramaniam. Recurrent neural networks. Rijek, Crotia: InTech, 2008.
Знайти повний текст джерелаBaram, Yoram. Nested neural networks. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.
Знайти повний текст джерелаЧастини книг з теми "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.
Повний текст джерелаSiegelmann, Hava T. "Recurrent neural networks." In Computer Science Today, 29–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/bfb0015235.
Повний текст джерелаYan, Wei Qi. "Convolutional Neural Networks and Recurrent Neural Networks." In Texts in Computer Science, 69–124. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4823-9_3.
Повний текст джерелаErtel, 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.
Повний текст джерелаErtel, 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.
Повний текст джерелаFeldman, 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.
Повний текст джерелаKruse, Rudolf, Christian Borgelt, Christian Braune, Sanaz Mostaghim, and 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.
Повний текст джерелаKruse, Rudolf, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, and 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.
Повний текст джерелаKruse, Rudolf, Sanaz Mostaghim, Christian Borgelt, Christian Braune, and 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.
Повний текст джерелаBetti, Alessandro, Marco Gori, and 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.
Повний текст джерелаТези доповідей конференцій з теми "Neural networks (Computer science)"
Doncow, Sergey, Leonid Orbachevskyi, Valentin Birukow, and Nina V. Stepanova. "Artificial Kohonen's neural networks for computer capillarometry." In Optical Information Science and Technology, edited by Andrei L. Mikaelian. SPIE, 1998. http://dx.doi.org/10.1117/12.304962.
Повний текст джерелаNowak, Jakub, Marcin Korytkowski, and 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.
Повний текст джерелаShastri, Bhavin J., Volker Sorger, and 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.
Повний текст джерелаDias, L. P., J. J. F. Cerqueira, K. D. R. Assis, and 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.
Повний текст джерелаAraújo, Georger, and 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.
Повний текст джерелаWang, Huiran, and 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.
Повний текст джерелаEilermann, Sebastian, Christoph Petroll, Philipp Hoefer, and Oliver Niggemann. "3D Multi-Criteria Design Generation and Optimization of an Engine Mount for an Unmanned Air Vehicle Using a Conditional Variational Autoencoder." In Computer Science Research Notes. University of West Bohemia, Czech Republic, 2024. http://dx.doi.org/10.24132/csrn.3401.22.
Повний текст джерелаSakas, D. P., D. S. Vlachos, T. E. Simos, Theodore E. Simos, and 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.
Повний текст джерела"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.
Повний текст джерелаČajić, Elvir, Irma Ibrišimović, Alma Šehanović, Damir Bajrić, and Julija Ščekić. "Fuzzy Logic And Neural Networks For Disease Detection And Simulation In Matlab." In 9th International Conference on Computer Science, Engineering and Applications. Academy & Industry Research Collaboration Center, 2023. http://dx.doi.org/10.5121/csit.2023.132302.
Повний текст джерелаЗвіти організацій з теми "Neural networks (Computer science)"
Markova, Oksana, Serhiy Semerikov та Maiia Popel. СoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics”. Sun SITE Central Europe, травень 2018. http://dx.doi.org/10.31812/0564/2250.
Повний текст джерелаSemerikov, Serhiy, Illia Teplytskyi, Yuliia Yechkalo, Oksana Markova, Vladimir Soloviev, and Arnold Kiv. Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back. [б. в.], June 2019. http://dx.doi.org/10.31812/123456789/3178.
Повний текст джерелаGrossberg, Stephen. Instrumentation for Scientific Computing in Neural Networks, Information Science, Artificial Intelligence, and Applied Mathematics. Fort Belvoir, VA: Defense Technical Information Center, October 1987. http://dx.doi.org/10.21236/ada189981.
Повний текст джерелаSemerikov, Serhiy O., Illia O. Teplytskyi, Yuliia V. Yechkalo, and Arnold E. Kiv. Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. [б. в.], November 2018. http://dx.doi.org/10.31812/123456789/2648.
Повний текст джерелаFarhi, Edward, and Hartmut Neven. Classification with Quantum Neural Networks on Near Term Processors. Web of Open Science, December 2020. http://dx.doi.org/10.37686/qrl.v1i2.80.
Повний текст джерелаWillson. L51756 State of the Art Intelligent Control for Large Engines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 1996. http://dx.doi.org/10.55274/r0010423.
Повний текст джерелаModlo, Yevhenii O., Serhiy O. Semerikov, Ruslan P. Shajda, Stanislav T. Tolmachev, and 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.], July 2020. http://dx.doi.org/10.31812/123456789/3878.
Повний текст джерелаSAINI, RAVINDER, AbdulKhaliq Alshadid, and Lujain Aldosari. Investigation on the application of artificial intelligence in prosthodontics. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2022. http://dx.doi.org/10.37766/inplasy2022.12.0096.
Повний текст джерелаJohansen, Richard, Alan Katzenmeyer, Kaytee Pokrzywinski, and Molly Reif. A review of sensor-based approaches for monitoring rapid response treatments of cyanoHABs. Engineer Research and Development Center (U.S.), July 2023. http://dx.doi.org/10.21079/11681/47261.
Повний текст джерелаSeginer, Ido, James Jones, Per-Olof Gutman, and Eduardo Vallejos. Optimal Environmental Control for Indeterminate Greenhouse Crops. United States Department of Agriculture, August 1997. http://dx.doi.org/10.32747/1997.7613034.bard.
Повний текст джерела