인공 신경망 (Korean Wikipedia)

Analysis of information sources in references of the Wikipedia article "인공 신경망" in Korean language version.

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18doi.org

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7web.archive.org

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3nih.gov

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2kurzweilai.net

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2idsia.ch

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1archive.org

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1hartford.edu

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1scholarpedia.org

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1toronto.edu

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1nytimes.com

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1unsw.edu.au

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1zenodo.org

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1mssanz.org.au

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1ntnu.no

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1gene-expression-programming.com

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1ucl.ac.be

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1cuhk.edu.hk

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1ijcaonline.org

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1rutgers.edu

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1ieee.org

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1nasa.gov

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1fortunecity.com

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1umontreal.ca

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1sciencedirect.com

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archive.org

Rumelhart, D.E; James McClelland (1986). 《Parallel Distributed Processing: Explorations in the Microstructure of Cognition》. Cambridge: MIT Press.

cuhk.edu.hk

www2.mae.cuhk.edu.hk

Wu, J., Chen, E. (May 2009). Wang, H., Shen, Y., Huang, T., Zeng, Z., 편집. 《A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network》. 6th International Symposium on Neural Networks, ISNN 2009. Springer. doi:10.1007/978-3-642-01513-7_6. ISBN 978-3-642-01215-0. 2014년 12월 31일에 원본|보존url=은 |url=을 필요로 함 (도움말)에서 보존된 문서. CS1 관리 - 여러 이름 (링크)

doi.org

dx.doi.org

McCulloch, Warren; Walter Pitts (1943). “A Logical Calculus of Ideas Immanent in Nervous Activity”. 《Bulletin of Mathematical Biophysics》 5 (4): 115–133. doi:10.1007/BF02478259.
Farley, B.G.; W.A. Clark (1954). “Simulation of Self-Organizing Systems by Digital Computer”. 《IRE Transactions on Information Theory》 4 (4): 76–84. doi:10.1109/TIT.1954.1057468.
Rochester, N.; Holland, J.H.; Habit, L.H; Duda, W.L (1956). “Tests on a cell assembly theory of the action of the brain, using a large digital computer”. 《IRE Transactions on Information Theory》 2 (3): 80–93. doi:10.1109/TIT.1956.1056810.
Rosenblatt, F. (1958). “The Perceptron: A Probabilistic Model For Information Storage And Organization In The Brain”. 《Psychological Review》 65 (6): 386–408. doi:10.1037/h0042519. PMID 13602029.
Fukushima, K. (1980). “Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position”. 《Biological Cybernetics》 36 (4): 93–202. doi:10.1007/BF00344251. PMID 7370364.
Hinton, G. E.; Osindero, S.; Teh, Y. W. (2006). “A Fast Learning Algorithm for Deep Belief Nets” (PDF). 《Neural Computation》 18 (7): 1527–1554. doi:10.1162/neco.2006.18.7.1527. PMID 16764513.
Dominic, S., Das, R., Whitley, D., Anderson, C. (July 1991). 〈Genetic reinforcement learning for neural networks〉. 《IJCNN-91-Seattle International Joint Conference on Neural Networks》. IJCNN-91-Seattle International Joint Conference on Neural Networks. Seattle, Washington, USA: IEEE. doi:10.1109/IJCNN.1991.155315. ISBN 0-7803-0164-1. 2012년 7월 29일에 확인함. CS1 관리 - 여러 이름 (링크)
Hoskins, J.C.; Himmelblau, D.M. (1992). “Process control via artificial neural networks and reinforcement learning”. 《Computers & Chemical Engineering》 16 (4): 241–251. doi:10.1016/0098-1354(92)80045-B.
Secomandi, Nicola (2000). “Comparing neuro-dynamic programming algorithms for the vehicle routing problem with stochastic demands”. 《Computers & Operations Research》 27 (11–12): 1201–1225. doi:10.1016/S0305-0548(99)00146-X.
de Rigo, D., Rizzoli, A. E., Soncini-Sessa, R., Weber, E., Zenesi, P. (2001). 〈Neuro-dynamic programming for the efficient management of reservoir networks〉 (PDF). 《Proceedings of MODSIM 2001, International Congress on Modelling and Simulation》. MODSIM 2001, International Congress on Modelling and Simulation. Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand. doi:10.5281/zenodo.7481. ISBN 0-867405252. 2012년 7월 29일에 확인함. CS1 관리 - 여러 이름 (링크)
Damas, M., Salmeron, M., Diaz, A., Ortega, J., Prieto, A., Olivares, G. (2000). 〈Genetic algorithms and neuro-dynamic programming: application to water supply networks〉. 《Proceedings of 2000 Congress on Evolutionary Computation》. 2000 Congress on Evolutionary Computation. La Jolla, California, USA: IEEE. doi:10.1109/CEC.2000.870269. ISBN 0-7803-6375-2. 2012년 7월 29일에 확인함. CS1 관리 - 여러 이름 (링크)
Deng, Geng; Ferris, M.C. (2008). “Neuro-dynamic programming for fractionated radiotherapy planning”. 《Springer Optimization and Its Applications》 12: 47–70. doi:10.1007/978-0-387-73299-2_3.
de Rigo, D., Castelletti, A., Rizzoli, A.E., Soncini-Sessa, R., Weber, E. (January 2005). 〈A selective improvement technique for fastening Neuro-Dynamic Programming in Water Resources Network Management〉. Pavel Zítek. 《Proceedings of the 16th IFAC World Congress – IFAC-PapersOnLine》. 16th IFAC World Congress. Prague, Czech Republic: IFAC. doi:10.3182/20050703-6-CZ-1902.02172. ISBN 978-3-902661-75-3. 2011년 12월 30일에 확인함. CS1 관리 - 여러 이름 (링크)
Da, Y., Xiurun, G. (July 2005). T. Villmann, 편집. 《An improved PSO-based ANN with simulated annealing technique》. New Aspects in Neurocomputing: 11th European Symposium on Artificial Neural Networks. Elsevier. doi:10.1016/j.neucom.2004.07.002. 2012년 4월 25일에 원본|보존url=은 |url=을 필요로 함 (도움말)에서 보존된 문서. CS1 관리 - 여러 이름 (링크)
Wu, J., Chen, E. (May 2009). Wang, H., Shen, Y., Huang, T., Zeng, Z., 편집. 《A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network》. 6th International Symposium on Neural Networks, ISNN 2009. Springer. doi:10.1007/978-3-642-01513-7_6. ISBN 978-3-642-01215-0. 2014년 12월 31일에 원본|보존url=은 |url=을 필요로 함 (도움말)에서 보존된 문서. CS1 관리 - 여러 이름 (링크)
Siegelmann, H.T.; Sontag, E.D. (1991). “Turing computability with neural nets” (PDF). 《Appl. Math. Lett.》 4 (6): 77–80. doi:10.1016/0893-9659(91)90080-F. 2013년 5월 2일에 원본 문서 (PDF)에서 보존된 문서. 2013년 12월 9일에 확인함.
Balcázar, José (Jul 1997). “Computational Power of Neural Networks: A Kolmogorov Complexity Characterization”. 《Information Theory, IEEE Transactions on》 43 (4): 1175–1183. doi:10.1109/18.605580. 2014년 11월 3일에 확인함.
Tahmasebi; Hezarkhani (2012). “A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation”. 《Computers & Geosciences》 42: 18–27. doi:10.1016/j.cageo.2012.02.004.

fortunecity.com

members.fortunecity.com

“Roger Bridgman's defence of neural networks”. 2012년 3월 19일에 원본 문서에서 보존된 문서. 2015년 4월 30일에 확인함.

gene-expression-programming.com

Ferreira, C. (2006). “Designing Neural Networks Using Gene Expression Programming” (PDF). In A. Abraham, B. de Baets, M. Köppen, and B. Nickolay, eds., Applied Soft Computing Technologies: The Challenge of Complexity, pages 517–536, Springer-Verlag.

hartford.edu

uhaweb.hartford.edu

Russell, Ingrid. “Neural Networks Module”. 2014년 5월 29일에 원본 문서에서 보존된 문서. 2012에 확인함.

idsia.ch

Graves, Alex; and Schmidhuber, Jürgen; Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks, in Bengio, Yoshua; Schuurmans, Dale; Lafferty, John; Williams, Chris K. I.; and Culotta, Aron (eds.), Advances in Neural Information Processing Systems 22 (NIPS'22), 7–10 December 2009, Vancouver, BC, Neural Information Processing Systems (NIPS) Foundation, 2009, pp. 545–552.
A. Graves, M. Liwicki, S. Fernandez, R. Bertolami, H. Bunke, J. Schmidhuber. A Novel Connectionist System for Improved Unconstrained Handwriting Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 5, 2009.

ieee.org

ieeexplore.ieee.org

Balcázar, José (Jul 1997). “Computational Power of Neural Networks: A Kolmogorov Complexity Characterization”. 《Information Theory, IEEE Transactions on》 43 (4): 1175–1183. doi:10.1109/18.605580. 2014년 11월 3일에 확인함.

ijcaonline.org

Ganesan, N. “Application of Neural Networks in Diagnosing Cancer Disease Using Demographic Data” (PDF). International Journal of Computer Applications.

kurzweilai.net

2012 Kurzweil AI Interview Archived 2018년 8월 31일 - 웨이백 머신 with Jürgen Schmidhuber on the eight competitions won by his Deep Learning team 2009–2012
http://www.kurzweilai.net/how-bio-inspired-deep-learning-keeps-winning-competitions Archived 2018년 8월 31일 - 웨이백 머신 2012 Kurzweil AI Interview with Jürgen Schmidhuber on the eight competitions won by his Deep Learning team 2009–2012

mssanz.org.au

de Rigo, D., Rizzoli, A. E., Soncini-Sessa, R., Weber, E., Zenesi, P. (2001). 〈Neuro-dynamic programming for the efficient management of reservoir networks〉 (PDF). 《Proceedings of MODSIM 2001, International Congress on Modelling and Simulation》. MODSIM 2001, International Congress on Modelling and Simulation. Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand. doi:10.5281/zenodo.7481. ISBN 0-867405252. 2012년 7월 29일에 확인함. CS1 관리 - 여러 이름 (링크)

nasa.gov

NASA - Dryden Flight Research Center - News Room: News Releases: NASA NEURAL NETWORK PROJECT PASSES MILESTONE. Nasa.gov. Retrieved on 2013-11-20.

nih.gov

ncbi.nlm.nih.gov

Rosenblatt, F. (1958). “The Perceptron: A Probabilistic Model For Information Storage And Organization In The Brain”. 《Psychological Review》 65 (6): 386–408. doi:10.1037/h0042519. PMID 13602029.
Fukushima, K. (1980). “Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position”. 《Biological Cybernetics》 36 (4): 93–202. doi:10.1007/BF00344251. PMID 7370364.
Hinton, G. E.; Osindero, S.; Teh, Y. W. (2006). “A Fast Learning Algorithm for Deep Belief Nets” (PDF). 《Neural Computation》 18 (7): 1527–1554. doi:10.1162/neco.2006.18.7.1527. PMID 16764513.

ntnu.no

nt.ntnu.no

de Rigo, D., Castelletti, A., Rizzoli, A.E., Soncini-Sessa, R., Weber, E. (January 2005). 〈A selective improvement technique for fastening Neuro-Dynamic Programming in Water Resources Network Management〉. Pavel Zítek. 《Proceedings of the 16th IFAC World Congress – IFAC-PapersOnLine》. 16th IFAC World Congress. Prague, Czech Republic: IFAC. doi:10.3182/20050703-6-CZ-1902.02172. ISBN 978-3-902661-75-3. 2011년 12월 30일에 확인함. CS1 관리 - 여러 이름 (링크)

nytimes.com

John Markoff (2012년 11월 23일). “Scientists See Promise in Deep-Learning Programs”. 《New York Times》.

rutgers.edu

math.rutgers.edu

Siegelmann, H.T.; Sontag, E.D. (1991). “Turing computability with neural nets” (PDF). 《Appl. Math. Lett.》 4 (6): 77–80. doi:10.1016/0893-9659(91)90080-F. 2013년 5월 2일에 원본 문서 (PDF)에서 보존된 문서. 2013년 12월 9일에 확인함.

scholarpedia.org

Deep belief networks at Scholarpedia.

sciencedirect.com

Tahmasebi; Hezarkhani (2012). “A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation”. 《Computers & Geosciences》 42: 18–27. doi:10.1016/j.cageo.2012.02.004.

toronto.edu

cs.toronto.edu

Hinton, G. E.; Osindero, S.; Teh, Y. W. (2006). “A Fast Learning Algorithm for Deep Belief Nets” (PDF). 《Neural Computation》 18 (7): 1527–1554. doi:10.1162/neco.2006.18.7.1527. PMID 16764513.

ucl.ac.be

dice.ucl.ac.be

Da, Y., Xiurun, G. (July 2005). T. Villmann, 편집. 《An improved PSO-based ANN with simulated annealing technique》. New Aspects in Neurocomputing: 11th European Symposium on Artificial Neural Networks. Elsevier. doi:10.1016/j.neucom.2004.07.002. 2012년 4월 25일에 원본|보존url=은 |url=을 필요로 함 (도움말)에서 보존된 문서. CS1 관리 - 여러 이름 (링크)

umontreal.ca

iro.umontreal.ca

“보관된 사본”. 2015년 5월 15일에 원본 문서에서 보존된 문서. 2015년 4월 30일에 확인함.

unsw.edu.au

cse.unsw.edu.au

“The Machine Learning Dictionary”. 2018년 8월 26일에 원본 문서에서 보존된 문서. 2015년 4월 28일에 확인함.

web.archive.org

Russell, Ingrid. “Neural Networks Module”. 2014년 5월 29일에 원본 문서에서 보존된 문서. 2012에 확인함.
2012 Kurzweil AI Interview Archived 2018년 8월 31일 - 웨이백 머신 with Jürgen Schmidhuber on the eight competitions won by his Deep Learning team 2009–2012
http://www.kurzweilai.net/how-bio-inspired-deep-learning-keeps-winning-competitions Archived 2018년 8월 31일 - 웨이백 머신 2012 Kurzweil AI Interview with Jürgen Schmidhuber on the eight competitions won by his Deep Learning team 2009–2012
“The Machine Learning Dictionary”. 2018년 8월 26일에 원본 문서에서 보존된 문서. 2015년 4월 28일에 확인함.
Siegelmann, H.T.; Sontag, E.D. (1991). “Turing computability with neural nets” (PDF). 《Appl. Math. Lett.》 4 (6): 77–80. doi:10.1016/0893-9659(91)90080-F. 2013년 5월 2일에 원본 문서 (PDF)에서 보존된 문서. 2013년 12월 9일에 확인함.
“Roger Bridgman's defence of neural networks”. 2012년 3월 19일에 원본 문서에서 보존된 문서. 2015년 4월 30일에 확인함.
“보관된 사본”. 2015년 5월 15일에 원본 문서에서 보존된 문서. 2015년 4월 30일에 확인함.

zenodo.org

de Rigo, D., Rizzoli, A. E., Soncini-Sessa, R., Weber, E., Zenesi, P. (2001). 〈Neuro-dynamic programming for the efficient management of reservoir networks〉 (PDF). 《Proceedings of MODSIM 2001, International Congress on Modelling and Simulation》. MODSIM 2001, International Congress on Modelling and Simulation. Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand. doi:10.5281/zenodo.7481. ISBN 0-867405252. 2012년 7월 29일에 확인함. CS1 관리 - 여러 이름 (링크)