Books on the topic 'Réseau neuronal en graphes'
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Ilg, Uwe J. Dynamics of Visual Motion Processing: Neuronal, Behavioral, and Computational Approaches. Boston, MA: Springer Science+Business Media, LLC, 2010.
Find full textS, Weigend Andreas, and Gershenfeld Neil A, eds. Time series prediction: Forecasting the future and understanding the past : proceedings of the NATO Advanced Research Workshop on Comparative Time Series Analysis, held in Santa Fe, New Mexico, May 14-17, 1992. Reading, MA: Addison-Wesley Pub. Co., 1994.
Find full textHawkins, Jeff. Intelligence. Paris: CampusPress, 2005.
Find full textRojas, Raúl. Neural networks: A systematic introduction. Berlin: Springer-Verlag, 1996.
Find full textWatson, Mark. Programming in Scheme: Learn Scheme through artificial intelligence programs. New York: Springer, 1996.
Find full text1961-, Fiesler Emile, and Beale R, eds. Handbook of neural computation. Bristol: Institute of Physics Pub., 1997.
Find full textAntony, Browne, ed. Neural network perspectives on cognition and adaptive robotics. Bristol: Institute of Physics Pub., 1997.
Find full textLynn, Nadel, ed. Neural connections, mental computation. Cambridge, Mass: MIT Press, 1990.
Find full textDayhoff, Judith E. Neural network architectures: An introduction. New York, N.Y: Van Nostrand Reinhold, 1990.
Find full textWaldrop, M. Mitchell. Complexity: The emerging science at the edge of order and chaos. London: Viking, 1993.
Find full textWaldrop, M. Mitchell. Complexity: The emerging science at the edge of order and chaos. New York: Simon & Schuster, 1992.
Find full text1949-, Patton Ron, Clark Robert 1925-, and Frank Paul M, eds. Issues of fault diagnosis for dynamic systems. London: Springer, 2000.
Find full textG, Langton Christopher, ed. Artificial life: An overview. Cambridge, Mass: MIT Press, 1995.
Find full textF, Abbott L., ed. Theoretical neuroscience: Computational and mathematical modeling of neural systems. Cambridge, Mass: Massachusetts Institute of Technology Press, 2001.
Find full textPlans De Métro Et Réseaux Neuronaux (La Théorie Des Graphes). R.B.A., 2011.
Find full textSokolova, Karina, and Charles Perez. Monde en Réseau: Initiation Par la Pratique à la Théorie des Graphes. Independently Published, 2020.
Find full textNielsen, Thomas D., and Finn V. Jensen. Bayesian Networks and Decision Graphs. Springer New York, 2010.
Find full textIlg, Uwe J., and Guillaume S. Masson. Dynamics of Visual Motion Processing: Neuronal, Behavioral, and Computational Approaches. Springer, 2010.
Find full textIlg, Uwe J., and Guillaume S. Masson. Dynamics of Visual Motion Processing: Neuronal, Behavioral, and Computational Approaches. Springer, 2014.
Find full textRéseaux bayésiens. 3rd ed. Paris: Eyrolles, 2007.
Find full textHawkins, Jeff, and Sandra Blakeslee. On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines. Holt & Company, Henry, 2007.
Find full text(Editor), Genevieve B. Orr, and Klaus-Robert Müller (Editor), eds. Neural Networks: Tricks of the Trade. Springer, 1999.
Find full textMüller, Klaus-Robert, and Genevieve B. Orr. Neural Networks: Tricks of the Trade. Springer London, Limited, 2003.
Find full text(Editor), Emile Fiesler, and Russell Beale (Editor), eds. Handbook of Neural Computation: Looseleaf edition and World Wide Web access to contents (Computational Intelligence Library). Published in cooperation with the Institute of Physics, 1997.
Find full text(Editor), Yu Hen Hu, and Jenq-Neng Hwang (Editor), eds. Handbook of Neural Network Signal Processing (Electrical Engineering & Applied Signal Processing). CRC, 2001.
Find full textHu, Yu Hen, and Jenq-Neng Hwang. Handbook of Neural Network Signal Processing. Taylor & Francis Group, 2018.
Find full textHu, Yu Hen, and Jenq-Neng Hwang. Handbook of Neural Network Signal Processing. Taylor & Francis Group, 2010.
Find full textHu, Yu Hen, and Jenq-Neng Hwang. Handbook of Neural Network Signal Processing. Taylor & Francis Group, 2018.
Find full textNeural Network Architectures: An Introduction. Van Nostrand Reinhold, 1989.
Find full textPattern Recognition and Neural Networks. Cambridge University Press, 2007.
Find full textPattern recognition and neural networks. Cambridge: Cambridge University Press, 1996.
Find full textWaldrop, M. Mitchell. Complexity: The Emerging Science at the Edge of Order and Chaos. Open Road Integrated Media, Inc., 2019.
Find full textLangton, Christopher G. Artificial Life: An Overview. MIT Press, 2018.
Find full textWaldrop, M. Mitchell. Complexity: The Emerging Science At the Edge of Order and Chaos ('Fu Za', in traditional Chinese, NOT in English). Tian Xia, 1996.
Find full textNaramore, Mikael, and M. Mitchell Waldrop. Complexity: The Emerging Science at the Edge of Order and Chaos. Audible Studios on Brilliance, 2020.
Find full textLangton, Christopher G. Artificial Life. Taylor & Francis Group, 2021.
Find full textFrank, Paul M., Robert N. Clark, and Ron J. Patton. Issues of Fault Diagnosis for Dynamic Systems. Springer London, 2010.
Find full text(Editor), Ron J. Patton, Paul M. Frank (Editor), and Robert N. Clark (Editor), eds. Issues of Fault Diagnosis for Dynamic Systems. Springer, 2000.
Find full textNedjah, Nadia, Heitor Silverio Lopes, and Luiza De Macedo Mourelle. Evolutionary Multi-Objective System Design: Theory and Applications. Taylor & Francis Group, 2020.
Find full textNedjah, Nadia, Heitor Silverio Lopes, and Luiza De Macedo Mourelle. Evolutionary Multi-Objective System Design: Theory and Applications. Taylor & Francis Group, 2020.
Find full textNedjah, Nadia, Luiza de Macedo Mourelle, and Heitor Silvério Lopes. Evolutionary Multi-Objective System Design. Taylor & Francis Group, 2020.
Find full textEvolutionary Multi-Objective System Design: Theory and Applications. Taylor & Francis Group, 2020.
Find full textArtificial Life. Taylor & Francis Group, 2019.
Find full textCresson, Rémi. Deep Learning for Remote Sensing Images with Open Source Software. Taylor & Francis Group, 2020.
Find full textCresson, Rémi. Deep Learning for Remote Sensing Images with Open Source Software. Taylor & Francis Group, 2020.
Find full textCresson, Rémi. Deep Learning for Remote Sensing Images with Open Source Software. Taylor & Francis Group, 2020.
Find full textCresson, Rémi. Deep Learning for Remote Sensing Images with Open Source Software. Taylor & Francis Group, 2022.
Find full textCresson, Rémi. Deep Learning for Remote Sensing Images with Open Source Software. Taylor & Francis Group, 2020.
Find full textDeep Learning for Remote Sensing Images with Open Source Software. Taylor & Francis Group, 2020.
Find full textAbbott, L. F., and Peter Dayan. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. The MIT Press, 2005.
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