Охота на электроовец. Большая книга искусственного интеллекта - Сергей Сергеевич Марков
1371
Dreyfus S. E. (1990). Artificial Neural Networks, Back Propagation, and the Kelley-Bryson Gradient Procedure / Journal of Guidance, Control, and Dynamics, Vol. 13, Num. 5 // https://doi.org/10.2514/3.25422
1372
Schmidhuber J. (2015). Deep learning in neural networks: An overview / Neural Networks. Volume 61, January 2015, pp. 85—117 // https://doi.org/10.1016/j.neunet.2014.09.003
1373
Kelley H. J. (1960). Gradient Theory of Optimal Flight Paths / American Rocket Society Journal, Vol. 30, Num. 10, October 1960 // https://doi.org/10.2514/8.5282
1374
Dreyfus S. E. (1990). Artificial Neural Networks, Back Propagation, and the Kelley-Bryson Gradient Procedure / Journal of Guidance, Control, and Dynamics, Vol. 13, Num. 5 // https://doi.org/10.2514/3.25422
1375
Schmidhuber J. (2015). Who Invented Backpropagation? // http://people.idsia.ch/~juergen/who-invented-backpropagation.html
1376
Понтрягин Л. С. (1998). Жизнеописание Л. С. Понтрягина, математика, составленное им самим. — М.: КомКнига // https://e-libra.ru/books/243417-zhizneopisanie-l-s-pontryagina-matematika-sostavlennoe-im-samim.html
1377
Schmidhuber J. (2015). Who Invented Backpropagation? // http://people.idsia.ch/~juergen/who-invented-backpropagation.html
1378
Chauvin Y., Rumelhart D. E. (2013). Backpropagation: Theory, Architectures, and Applications. Psychology Press // https://books.google.ru/books?id=B71nu3LDpREC
1379
Rosenblatt F. (1961). Principles of Neurodynamics. Perceptrons and the Theory of Brain Mechanisms. Cornell aeronautical lab inc., Buffalo, New York. Defense Technical Information Center // https://books.google.ru/books?id=Tk2tDAEACAAJ
1380
Widrow B., Lehr M. A. (1990). 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation / Proceedings of the IEEE, Vol. 78, Iss. 9, pp. 1415—1442 // https://doi.org/10.1109/5.58323
1381
Werbos P. (1974). Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences. PhD thesis, Harvard University, Cambridge, MA.
1382
Werbos J. P. (2006). Backwards Differentiation in AD and Neural Nets: Past Links and New Opportunities / Bücker M, Corliss G., Naumann U., Hovland P., Norris B. (2006). Automatic Differentiation: Applications, Theory, and Implementations. Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 50). Springer Berlin Heidelberg // https://books.google.ru/books?id=nyvRV4J89VoC
1383
Werbos P. J. (1994). The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting. Wiley & Sons Ltd // https://books.google.ru/books?id=WdR3OOM2gBwC
1384
Freud S. (1950). Project for a Scientific Psychology (1950[1895]). The Standard Edition of the Complete Psychological Works of Sigmund Freud, Volume I (1886-1899): Pre-Psycho-Analytic Publications and Unpublished Drafts // http://users.clas.ufl.edu/burt/freud%20fleiss%20letters/200711781-013.pdf
1385
Gresser M. (2012). Dual Allegiance: Freud as a Modern Jew. SUNY Press // https://books.google.ru/books?id=Gh9OF0JJVw0C
1386
Jones E. (1993). The Life and Work of Sigmund Freud. Penguin Books // https://books.google.ru/books?id=_XqhPwAACAAJ
1387
Gottwaldt A. (2004). Sigmund Freud's sisters and death. Notes on their fate in deportation and mass-murder / Psyche. Vol. 58. pp. 533-543 // https://www.researchgate.net/publication/292510186_Sigmund_Freud's_sisters_and_death_Notes_on_their_fate_in_deportation_and_mass-murder
1388
Rice E. (1990). Freud and Moses: The Long Journey Home. SUNY Press // https://books.google.ru/books?id=g5JFAgAAQBAJ
1389
Costandi M. (2014). Freud was a pioneering neuroscientist / The Guardian, 10 Mar // https://www.theguardian.com/science/neurophilosophy/2014/mar/10/neuroscience-history-science
1390
Galbis-Reig D. (2003). Sigmund Freud, M. D.: Forgotten Contributions to Neurology, Neuropathology, and Anesthesia / Internet Journal of Neurology. Vol. 3 (1), Jan 2003 // https://www.researchgate.net/publication/275833594_Sigmund_Freud_MD_Forgotten_Contributions_to_Neurology_Neuropathology_and_Anesthesia
1391
Triarhou L. C. (2009). Exploring the mind with a microscope: Freud's beginnings in Neurobiology / Hellenic Journal of Psychology // https://www.academia.edu/9914521/Exploring_the_mind_with_a_microscope_Freuds_beginnings_in_Neurobiology
1392
Freud S. (1885). A new histological method for the study of nerve-tracts in the brain and spinal chord / Brain: a journal of neurology, Vol. IV // https://archive.org/details/brainjournalofne07londuoft/page/86
1393
Barford D., Geerardyn F., van de Vijver G. (2018). The Pre-Psychoanalytic Writings of Sigmund Freud. Routledge // https://books.google.ru/books?id=Fx-yDwAAQBAJ
1394
Reshe J. (2018). Freud’s living corpse: psychoanalysis vs neuroscience / Brev Spread, Vol. 18, pp. 20—37 // https://www.academia.edu/37323128/Freuds_living_corpse_psychoanalysis_vs_neuroscience
1395
Ramón y Cajal S. (2002). Texture of the Nervous System of Man and the Vertebrates: Volume III An annotated and edited translation of the original Spanish text with the additions of the French version by Pedro Pasik and Tauba Pasik. Springer Science & Business Media // https://books.google.ru/books?id=DMETOdFiJwMC
1396
Freud S. (1950). Project for a Scientific Psychology (1950[1895]). The Standard Edition of the Complete Psychological Works of Sigmund Freud, Volume I (1886-1899): Pre-Psycho-Analytic Publications and Unpublished Drafts // http://users.clas.ufl.edu/burt/freud%20fleiss%20letters/200711781-013.pdf
1397
Fancher R. E., Rutherford A. (2016). Pioneers of Psychology (Fifth International Edition). W. W. Norton // https://books.google.ru/books?id=gmnKswEACAAJ
1398
Freud S. (1950). Project for a Scientific Psychology (1950[1895]). The Standard Edition of the Complete Psychological Works of Sigmund Freud, Volume I (1886-1899): Pre-Psycho-Analytic Publications and Unpublished Drafts // http://users.clas.ufl.edu/burt/freud%20fleiss%20letters/200711781-013.pdf
1399
Werbos P. (1982). Applications of Advances in Nonlinear Sensitivity Analysis / Drenick R., Kozin F. (1982). System Modeling and Optimization. Proceedings of the 10th IFIP Conference New York City, USA, August 31–September 4, 1981. Springer-Verlag // https://books.google.ru/books?id=oczhwgEACAAJ
1400
Kurenkov A. (2015). A 'Brief' History of Neural Nets and Deep Learning // https://www.andreykurenkov.com/writing/ai/a-brief-history-of-neural-nets-and-deep-learning/
1401
* Значение метода наименьших квадратов, разработанного в начале XVIII в. Гауссом и Лежандром, для машинного обучения столь значительно, что один из отцов современных нейронных сетей Юрген Шмидхубер даже называет модели Гаусса и Лежандра «линейными нейронными сетями» или «линейными перцептронами».
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Machine Learning Street Talk (2023). ORIGINAL FATHER OF AI ON DANGERS! (Prof. Jürgen Schmidhuber) / YouTube, Aug 13, 2023 // https://www.youtube.com/watch?v=q27XMPm5wg8
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Werbos P. J. (2006)