Libri sul tema "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.
Cerca il testo completoS, Weigend Andreas, e Gershenfeld Neil A, a cura di. 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.
Cerca il testo completoHawkins, Jeff. Intelligence. Paris: CampusPress, 2005.
Cerca il testo completoRojas, Raúl. Neural networks: A systematic introduction. Berlin: Springer-Verlag, 1996.
Cerca il testo completoWatson, Mark. Programming in Scheme: Learn Scheme through artificial intelligence programs. New York: Springer, 1996.
Cerca il testo completo1961-, Fiesler Emile, e Beale R, a cura di. Handbook of neural computation. Bristol: Institute of Physics Pub., 1997.
Cerca il testo completoAntony, Browne, a cura di. Neural network perspectives on cognition and adaptive robotics. Bristol: Institute of Physics Pub., 1997.
Cerca il testo completoLynn, Nadel, a cura di. Neural connections, mental computation. Cambridge, Mass: MIT Press, 1990.
Cerca il testo completoDayhoff, Judith E. Neural network architectures: An introduction. New York, N.Y: Van Nostrand Reinhold, 1990.
Cerca il testo completoWaldrop, M. Mitchell. Complexity: The emerging science at the edge of order and chaos. London: Viking, 1993.
Cerca il testo completoWaldrop, M. Mitchell. Complexity: The emerging science at the edge of order and chaos. New York: Simon & Schuster, 1992.
Cerca il testo completo1949-, Patton Ron, Clark Robert 1925- e Frank Paul M, a cura di. Issues of fault diagnosis for dynamic systems. London: Springer, 2000.
Cerca il testo completoG, Langton Christopher, a cura di. Artificial life: An overview. Cambridge, Mass: MIT Press, 1995.
Cerca il testo completoF, Abbott L., a cura di. Theoretical neuroscience: Computational and mathematical modeling of neural systems. Cambridge, Mass: Massachusetts Institute of Technology Press, 2001.
Cerca il testo completoPlans De Métro Et Réseaux Neuronaux (La Théorie Des Graphes). R.B.A., 2011.
Cerca il testo completoSokolova, Karina, e Charles Perez. Monde en Réseau: Initiation Par la Pratique à la Théorie des Graphes. Independently Published, 2020.
Cerca il testo completoNielsen, Thomas D., e Finn V. Jensen. Bayesian Networks and Decision Graphs. Springer New York, 2010.
Cerca il testo completoIlg, Uwe J., e Guillaume S. Masson. Dynamics of Visual Motion Processing: Neuronal, Behavioral, and Computational Approaches. Springer, 2010.
Cerca il testo completoIlg, Uwe J., e Guillaume S. Masson. Dynamics of Visual Motion Processing: Neuronal, Behavioral, and Computational Approaches. Springer, 2014.
Cerca il testo completoRéseaux bayésiens. 3a ed. Paris: Eyrolles, 2007.
Cerca il testo completoHawkins, Jeff, e Sandra Blakeslee. On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines. Holt & Company, Henry, 2007.
Cerca il testo completo(Editor), Genevieve B. Orr, e Klaus-Robert Müller (Editor), a cura di. Neural Networks: Tricks of the Trade. Springer, 1999.
Cerca il testo completoMüller, Klaus-Robert, e Genevieve B. Orr. Neural Networks: Tricks of the Trade. Springer London, Limited, 2003.
Cerca il testo completo(Editor), Emile Fiesler, e Russell Beale (Editor), a cura di. 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.
Cerca il testo completo(Editor), Yu Hen Hu, e Jenq-Neng Hwang (Editor), a cura di. Handbook of Neural Network Signal Processing (Electrical Engineering & Applied Signal Processing). CRC, 2001.
Cerca il testo completoHu, Yu Hen, e Jenq-Neng Hwang. Handbook of Neural Network Signal Processing. Taylor & Francis Group, 2018.
Cerca il testo completoHu, Yu Hen, e Jenq-Neng Hwang. Handbook of Neural Network Signal Processing. Taylor & Francis Group, 2010.
Cerca il testo completoHu, Yu Hen, e Jenq-Neng Hwang. Handbook of Neural Network Signal Processing. Taylor & Francis Group, 2018.
Cerca il testo completoNeural Network Architectures: An Introduction. Van Nostrand Reinhold, 1989.
Cerca il testo completoPattern Recognition and Neural Networks. Cambridge University Press, 2007.
Cerca il testo completoPattern recognition and neural networks. Cambridge: Cambridge University Press, 1996.
Cerca il testo completoWaldrop, M. Mitchell. Complexity: The Emerging Science at the Edge of Order and Chaos. Open Road Integrated Media, Inc., 2019.
Cerca il testo completoLangton, Christopher G. Artificial Life: An Overview. MIT Press, 2018.
Cerca il testo completoWaldrop, M. Mitchell. Complexity: The Emerging Science At the Edge of Order and Chaos ('Fu Za', in traditional Chinese, NOT in English). Tian Xia, 1996.
Cerca il testo completoNaramore, Mikael, e M. Mitchell Waldrop. Complexity: The Emerging Science at the Edge of Order and Chaos. Audible Studios on Brilliance, 2020.
Cerca il testo completoLangton, Christopher G. Artificial Life. Taylor & Francis Group, 2021.
Cerca il testo completoFrank, Paul M., Robert N. Clark e Ron J. Patton. Issues of Fault Diagnosis for Dynamic Systems. Springer London, 2010.
Cerca il testo completo(Editor), Ron J. Patton, Paul M. Frank (Editor) e Robert N. Clark (Editor), a cura di. Issues of Fault Diagnosis for Dynamic Systems. Springer, 2000.
Cerca il testo completoNedjah, Nadia, Heitor Silverio Lopes e Luiza De Macedo Mourelle. Evolutionary Multi-Objective System Design: Theory and Applications. Taylor & Francis Group, 2020.
Cerca il testo completoNedjah, Nadia, Heitor Silverio Lopes e Luiza De Macedo Mourelle. Evolutionary Multi-Objective System Design: Theory and Applications. Taylor & Francis Group, 2020.
Cerca il testo completoNedjah, Nadia, Luiza de Macedo Mourelle e Heitor Silvério Lopes. Evolutionary Multi-Objective System Design. Taylor & Francis Group, 2020.
Cerca il testo completoEvolutionary Multi-Objective System Design: Theory and Applications. Taylor & Francis Group, 2020.
Cerca il testo completoArtificial Life. Taylor & Francis Group, 2019.
Cerca il testo completoCresson, Rémi. Deep Learning for Remote Sensing Images with Open Source Software. Taylor & Francis Group, 2020.
Cerca il testo completoCresson, Rémi. Deep Learning for Remote Sensing Images with Open Source Software. Taylor & Francis Group, 2020.
Cerca il testo completoCresson, Rémi. Deep Learning for Remote Sensing Images with Open Source Software. Taylor & Francis Group, 2020.
Cerca il testo completoCresson, Rémi. Deep Learning for Remote Sensing Images with Open Source Software. Taylor & Francis Group, 2022.
Cerca il testo completoCresson, Rémi. Deep Learning for Remote Sensing Images with Open Source Software. Taylor & Francis Group, 2020.
Cerca il testo completoDeep Learning for Remote Sensing Images with Open Source Software. Taylor & Francis Group, 2020.
Cerca il testo completoAbbott, L. F., e Peter Dayan. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. The MIT Press, 2005.
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