Red neuronal artificial (Spanish Wikipedia)

Analysis of information sources in references of the Wikipedia article "Red neuronal artificial" in Spanish language version.

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25doi.org

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archive.org

Rosenblatt, F. (1958). «The Perceptron: A Probabilistic Model For Information Storage And Organization In The Brain». Psychological Review 65 (6): 386-408. PMID 13602029. doi:10.1037/h0042519.
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 (Seattle, Washington, USA: IEEE). ISBN 0-7803-0164-1. doi:10.1109/IJCNN.1991.155315.
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.
Damas, M.; Salmeron, M.; Díaz, 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 (La Jolla, California, USA: IEEE). ISBN 0-7803-6375-2. doi:10.1109/CEC.2000.870269.

arxiv.org

Schmidhuber, J. (2015). «Deep Learning in Neural Networks: An Overview». Neural Networks 61: 85-117. PMID 25462637. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003.

books.google.com

Hebb, Donald (1949). The Organization of Behavior [La Organización del Comportamiento]. Nueva York: Wiley. ISBN 978-1-135-63190-1.
Werbos, P.J. (1975). Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences. Harvard University.
Hubel, David H.; Wiesel, Torsten (2005). Brain and visual perception: the story of a 25-year collaboration [Cerebro y percepción visual: la historia de una colaboración de 25 años]. Oxford University Press US. p. 106. ISBN 978-0-19-517618-6.
Ivakhnenko, A. G. (1973). Cybernetic Predicting Devices. CCM Information Corporation.
Ivakhnenko, A. G.; Grigorʹevich Lapa, Valentín (1967). Cybernetics and forecasting techniques. American Elsevier Pub. Co.
Minsky, Marvin; Papert, Seymour (1969). Perceptrons: An Introduction to Computational Geometry. MIT Press. ISBN 0-262-63022-2.
Rumelhart, D.E; McClelland, James (1986). Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Cambridge: MIT Press. ISBN 978-0-262-63110-5.
Hochreiter, S.; et al. (15 de enero de 2001). «Gradient flow in recurrent nets: the difficulty of learning long-term dependencies». En Kolen, John F.; Kremer, Stefan C., eds. A Field Guide to Dynamical Recurrent Networks. John Wiley & Sons. ISBN 978-0-7803-5369-5.
Dewdney, A. K. (1 de abril de 1997). Yes, we have no neutrons: an eye-opening tour through the twists and turns of bad science. Wiley. p. 82. ISBN 978-0-471-10806-1.

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» [Simulación de Sistemas Autoorganizadoras por Computadora Digital]. IRE Transactions on Information Theory 4 (4): 76-84. doi:10.1109/TIT.1954.1057468.
Rochester, N.; J.H. Holland; L.H. Habit; W.L. Duda (1956). «Tests on a cell assembly theory of the action of the brain, using a large digital computer» [Pruebas de una teoría de la acción del cerebro por asamblea de células, usando una computadora digital grande]. 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. PMID 13602029. doi:10.1037/h0042519.
Schmidhuber, J. (2015). «Deep Learning in Neural Networks: An Overview». Neural Networks 61: 85-117. PMID 25462637. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003.
Scherer, Dominik; Müller, Andreas C.; Behnke, Sven (2010). «Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition». 20th International Conference Artificial Neural Networks (ICANN): 92-101. doi:10.1007/978-3-642-15825-4_10.
Yang, J. J.; Pickett, M. D.; Li, X. M.; Ohlberg, D. A. A.; Stewart, D. R.; Williams, R. S. (2008). «Memristive switching mechanism for metal/oxide/metal nanodevice». Nat. Nanotechnol. 3: 429-433. doi:10.1038/nnano.2008.160.
Strukov, D. B.; Snider, G. S.; Stewart, D. R.; Williams, R. S. (2008). «The missing memristor found». Nature 453 (7191): 80-83. Bibcode:2008Natur.453...80S. PMID 18451858. doi:10.1038/nature06932.
Cireşan, Dan Claudiu; Meier, Ueli; Gambardella, Luca María; Schmidhuber, Jürgen (21 de septiembre de 2010). «Deep, Big, Simple Neural Nets for Handwritten Digit Recognition». Neural Computation 22 (12): 3207-3220. ISSN 0899-7667. doi:10.1162/neco_a_00052.
Yang, J. J.; Pickett, M. D.; Li, X. M.; Ohlberg, D. A. A.; Stewart, D. R.; Williams, R. S. (2008). «Memristive switching mechanism for metal/oxide/metal nanodevices». Nat. Nanotechnol. 3 (7): 429-433. doi:10.1038/nnano.2008.160.
Strukov, D. B.; Snider, G. S.; Stewart, D. R.; Williams, R. S. (2008). «The missing memristor found». Nature 453 (7191): 80-83. Bibcode:2008Natur.453...80S. PMID 18451858. doi:10.1038/nature06932.
Cireşan, Dan; Meier, Ueli; Masci, Jonathan; Schmidhuber, Jürgen (Agosto de 2012). «Multi-column deep neural network for traffic sign classification». Neural Networks. Selected Papers from IJCNN 2011 32: 333-338. doi:10.1016/j.neunet.2012.02.023.
Ojha, Varun Kumar; Abraham, Ajith; Snášel, Václav (1 de abril de 2017). «Metaheuristic design of feedforward neural networks: A review of two decades of research». Engineering Applications of Artificial Intelligence 60: 97-116. doi:10.1016/j.engappai.2017.01.013.
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 (Seattle, Washington, USA: IEEE). ISBN 0-7803-0164-1. doi:10.1109/IJCNN.1991.155315.
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.
de Rigo, D.; Rizzoli, A. E.; Soncini-Sessa, R.; Weber, E.; Zenesi, P. (2001). «Neuro-dynamic programming for the efficient management of reservoir networks». Proceedings of MODSIM 2001, International Congress on Modelling and Simulation (Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand). ISBN 0-867405252. doi:10.5281/zenodo.7481. Consultado el 29 de julio de 2012.
Damas, M.; Salmeron, M.; Díaz, 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 (La Jolla, California, USA: IEEE). ISBN 0-7803-6375-2. doi:10.1109/CEC.2000.870269.
Deng, Geng; Ferris, M.C. (2008). «Neuro-dynamic programming for fractionated radiotherapy planning». Springer Optimization and Its Applications. Springer Optimization and Its Applications 12: 47-70. ISBN 978-0-387-73298-5. 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». En Pavel Zítek, ed. Proceedings of the 16th IFAC World Congress – IFAC-PapersOnLine (Prague, Czech Republic: IFAC) 16. ISBN 978-3-902661-75-3. doi:10.3182/20050703-6-CZ-1902.02172. Consultado el 30 de diciembre de 2011.
Da, Y.; Xiurun, G. (July 2005). «An improved PSO-based ANN with simulated annealing technique». En T. Villmann, ed. New Aspects in Neurocomputing: 11th European Symposium on Artificial Neural Networks (Elsevier). doi:10.1016/j.neucom.2004.07.002.
Wu, J.; Chen, E. (May 2009). Wang, H., Shen, Y., Huang, T., Zeng, Z., ed. A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network. Springer. ISBN 978-3-642-01215-0. doi:10.1007/978-3-642-01513-7-6.
Zissis, Dimitrios (October 2015). «A cloud based architecture capable of perceiving and predicting multiple vessel behaviour». Applied Soft Computing 35: 652-661. doi:10.1016/j.asoc.2015.07.002.
Sengupta, Nandini; Sahidullah, Md; Saha, Goutam (August 2016). «Lung sound classification using cepstral-based statistical features». Computers in Biology and Medicine 75 (1): 118-129. doi:10.1016/j.compbiomed.2016.05.013.
Crick, Francis (1989). «The recent excitement about neural networks». Nature 337 (6203): 129-132. Bibcode:1989Natur.337..129C. PMID 2911347. doi:10.1038/337129a0.
Adrian, Edward D. (1926). «The impulses produced by sensory nerve endings». The Journal of Physiology 61 (1): 49-72. PMC 1514809. PMID 16993776. doi:10.1113/jphysiol.1926.sp002273.

europepmc.org

Crick, Francis (1989). «The recent excitement about neural networks». Nature 337 (6203): 129-132. Bibcode:1989Natur.337..129C. PMID 2911347. doi:10.1038/337129a0.

gene-expression-programming.com

Ferreira, C. (2006). «Designing Neural Networks Using Gene Expression Programming». 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.

harvard.edu

adsabs.harvard.edu

Strukov, D. B.; Snider, G. S.; Stewart, D. R.; Williams, R. S. (2008). «The missing memristor found». Nature 453 (7191): 80-83. Bibcode:2008Natur.453...80S. PMID 18451858. doi:10.1038/nature06932.
Strukov, D. B.; Snider, G. S.; Stewart, D. R.; Williams, R. S. (2008). «The missing memristor found». Nature 453 (7191): 80-83. Bibcode:2008Natur.453...80S. PMID 18451858. doi:10.1038/nature06932.
Crick, Francis (1989). «The recent excitement about neural networks». Nature 337 (6203): 129-132. Bibcode:1989Natur.337..129C. PMID 2911347. doi:10.1038/337129a0.

idsia.ch

people.idsia.ch

S. Hochreiter. Untersuchungen zu dynamischen neuronalen Netzen, Diploma thesis. Institut f. Informatik, Technische Univ. Munich. Advisor: J. Schmidhuber, 1991.

issn.org

portal.issn.org

Cireşan, Dan Claudiu; Meier, Ueli; Gambardella, Luca María; Schmidhuber, Jürgen (21 de septiembre de 2010). «Deep, Big, Simple Neural Nets for Handwritten Digit Recognition». Neural Computation 22 (12): 3207-3220. ISSN 0899-7667. doi:10.1162/neco_a_00052.
Schechner, Sam (15 de junio de 2017). «Facebook Boosts A.I. to Block Terrorist Propaganda». Wall Street Journal (en inglés estadounidense). ISSN 0099-9660. Consultado el 16 de junio de 2017.

mitpressjournals.org

Cireşan, Dan Claudiu; Meier, Ueli; Gambardella, Luca María; Schmidhuber, Jürgen (21 de septiembre de 2010). «Deep, Big, Simple Neural Nets for Handwritten Digit Recognition». Neural Computation 22 (12): 3207-3220. ISSN 0899-7667. doi:10.1162/neco_a_00052.

msu.edu

cse.msu.edu

Weng, J.; Ahuja, N.; Huang, T. S. (1992). «Cresceptron: a self-organizing neural network which grows adaptively». Proc. International Joint Conference on Neural Networks (Baltimore, Maryland) 1: 576-581.
Weng, J.; Ahuja, N.; Huang, T.S. (1993). «Learning recognition and segmentation of 3-D objects from 2-D images». Proc. 4th International Conf. Computer Vision (Berlin, Alemania): 121-128.
Weng, J.; Ahuja, N.; Huang, T.S. (1997). «Learning recognition and segmentation using the Cresceptron». International Journal of Computer Vision 25 (2): 105-139.

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. PMID 13602029. doi:10.1037/h0042519.
Schmidhuber, J. (2015). «Deep Learning in Neural Networks: An Overview». Neural Networks 61: 85-117. PMID 25462637. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003.
Strukov, D. B.; Snider, G. S.; Stewart, D. R.; Williams, R. S. (2008). «The missing memristor found». Nature 453 (7191): 80-83. Bibcode:2008Natur.453...80S. PMID 18451858. doi:10.1038/nature06932.
Strukov, D. B.; Snider, G. S.; Stewart, D. R.; Williams, R. S. (2008). «The missing memristor found». Nature 453 (7191): 80-83. Bibcode:2008Natur.453...80S. PMID 18451858. doi:10.1038/nature06932.
Crick, Francis (1989). «The recent excitement about neural networks». Nature 337 (6203): 129-132. Bibcode:1989Natur.337..129C. PMID 2911347. doi:10.1038/337129a0.
Adrian, Edward D. (1926). «The impulses produced by sensory nerve endings». The Journal of Physiology 61 (1): 49-72. PMC 1514809. PMID 16993776. doi:10.1113/jphysiol.1926.sp002273.

nips.cc

papers.nips.cc

Ciresan, Dan; Giusti, Alessandro; Gambardella, Luca M.; Schmidhuber, Juergen (2012). Pereira, F.; Burges, C. J. C.; Bottou, L. et al., eds. Advances in Neural Information Processing Systems 25. Curran Associates, Inc. pp. 2843-2851.
Bertsekas, D.P.; Tsitsiklis, J.N. (1996). Neuro-dynamic programming. Athena Scientific. p. 512. ISBN 1-886529-10-8.

nmas1.org

https://nmas1.org/news/2018/06/22/fb-musica-ra-tecnologia

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». En Pavel Zítek, ed. Proceedings of the 16th IFAC World Congress – IFAC-PapersOnLine (Prague, Czech Republic: IFAC) 16. ISBN 978-3-902661-75-3. doi:10.3182/20050703-6-CZ-1902.02172. Consultado el 30 de diciembre de 2011.

psicologiaymente.com

Figueroba, Alex. «Ley de Hebb: la base neuropsicológica del aprendizaje». Psicología y mente. Consultado el 24 de octubre de 2018.

researchgate.net

M. Forouzanfar; H. R. Dajani; V. Z. Groza; M. Bolic; S. Rajan (July 2010). Comparison of Feed-Forward Neural Network Training Algorithms for Oscillometric Blood Pressure Estimation. Arad, Romania: IEEE.
Ochando Terreros, Cantero Obregón, Ventura Soto, Martínez Heredia,, F., A., S., A.M. (Noviembre 2021). «Diseño, implementación, entrenamiento y validación de un sistema de clasificación automático de las muestras de aceites lubricantes y de líquidos hidráulicos basado en Redes de Neuronas Artificiales aplicado al Programa de Análisis de Aceites del Ejército de Tierra». IX Congreso nacional de i+d en Defensa y Seguridad. Consultado el 10-02-2024.

sciencedirect.com

Cireşan, Dan; Meier, Ueli; Masci, Jonathan; Schmidhuber, Jürgen (Agosto de 2012). «Multi-column deep neural network for traffic sign classification». Neural Networks. Selected Papers from IJCNN 2011 32: 333-338. doi:10.1016/j.neunet.2012.02.023.
Ojha, Varun Kumar; Abraham, Ajith; Snášel, Václav (1 de abril de 2017). «Metaheuristic design of feedforward neural networks: A review of two decades of research». Engineering Applications of Artificial Intelligence 60: 97-116. doi:10.1016/j.engappai.2017.01.013.
Zissis, Dimitrios (October 2015). «A cloud based architecture capable of perceiving and predicting multiple vessel behaviour». Applied Soft Computing 35: 652-661. doi:10.1016/j.asoc.2015.07.002.
Sengupta, Nandini; Sahidullah, Md; Saha, Goutam (August 2016). «Lung sound classification using cepstral-based statistical features». Computers in Biology and Medicine 75 (1): 118-129. doi:10.1016/j.compbiomed.2016.05.013.

uni-bonn.de

ais.uni-bonn.de

Scherer, Dominik; Müller, Andreas C.; Behnke, Sven (2010). «Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition». 20th International Conference Artificial Neural Networks (ICANN): 92-101. doi:10.1007/978-3-642-15825-4_10.
Behnke, Sven (2003). Hierarchical Neural Networks for Image Interpretation.. Lecture Notes in Computer Science 2766. Springer.

unsw.edu.au

cse.unsw.edu.au

«The Machine Learning Dictionary». Archivado desde el original el 26 de agosto de 2018. Consultado el 19 de septiembre de 2018.

utn.edu.ar

frro.utn.edu.ar

Matich, Damián Jorge (2001). «Redes Neuronales: Conceptos Básicos y Aplicaciones.» (PDF). Buenos Aires, Argentina. p. 6. Consultado el 26 de octubre de 2018.

web.archive.org

«The Machine Learning Dictionary». Archivado desde el original el 26 de agosto de 2018. Consultado el 19 de septiembre de 2018.

wiley.com

onlinelibrary.wiley.com

Adrian, Edward D. (1926). «The impulses produced by sensory nerve endings». The Journal of Physiology 61 (1): 49-72. PMC 1514809. PMID 16993776. doi:10.1113/jphysiol.1926.sp002273.

wsj.com

Schechner, Sam (15 de junio de 2017). «Facebook Boosts A.I. to Block Terrorist Propaganda». Wall Street Journal (en inglés estadounidense). ISSN 0099-9660. Consultado el 16 de junio de 2017.

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». Proceedings of MODSIM 2001, International Congress on Modelling and Simulation (Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand). ISBN 0-867405252. doi:10.5281/zenodo.7481. Consultado el 29 de julio de 2012.