Statistical mechanics of neural networks : proceedings of the XIth Sitges conference, Sitges, Barcelona, Spain, 3-7 June 1990
Combined for researchers and graduate students the articles from the Sitges Summer School together form an excellent survey of the applications of neural-network theory to statistical mechanics and computer-science biophysics. Various mathematical models are presented together with their interpretat...
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| 第一著者: | |
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| 団体著者: | |
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| シリーズ: | Lecture notes in physics
368 |
| 主題: | |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Statistical mechanics of neural networks, proceedings of the XIth Sitges conference, Sitges, Barcelona, Spain, 3-7 June 1990, Luis Garrido, (ed.), Berlin, Springer-Verlag, 1990, 1 vol. (VI-477 p.), Lecture notes in physics, 3-540-53267-6 • Statistical Mechanics of Neural Networks, Texte imprimé, 9783662137840 • Statistical Mechanics of Neural Networks, Texte imprimé, 9783662137857 |
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| 041 | 0 | |a eng | |
| 082 | |a 530 | ||
| 100 | 1 | |a Garrido, Luis, |d 1930-2009. | |
| 245 | 1 | 0 | |a Statistical mechanics of neural networks : |b proceedings of the XIth Sitges conference, Sitges, Barcelona, Spain, 3-7 June 1990 |c [edited by] Luis Garrido. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in physics |v 368 |x 1616-6361 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a On the statistical-mechanical formulation of neural networks -- Model neurons: From Hodgkin-Huxley to hopfield -- Statistical mechanics for networks of analog neurons -- Properties of neural networks with multi-state neurons -- Adaptive recurrent neural networks and dynamic stability -- Neuronal oscillators: Experiments and models -- Neuronal networks in the hippocampus involved in memory -- Basins of attraction and spurious states in neural networks -- Tailoring the performance of attractor neural networks -- Learning and optimization -- Statistical dynamics of learning -- Learning and retrieving marked patterns -- Learning algorithm for binary synapses -- Statistical mechanics of the perceptron with maximal stability -- Simulation and hardware implementation of competitive learning neural networks -- Learning in multilayer networks: A geometric computational approach -- Storage capacity of diluted neural networks -- Dynamics and storage capacity of neural networks with sign-constrained weights -- The neural basis of the locomotion of nematodes -- Reversibility in neural processing systems -- Lyapunov functional for neural networks with delayed interactions and statistical mechanics of temporal associations -- Semi-local signal processing in the visual system -- Statistical mechanics and error-correcting codes -- Synergetic computers An alternative to neurocomputers -- Dynamics of the Kohonen map -- Equivalence between connectionist classifiers and logical classifiers -- On Potts-glass neural networks with biased patterns -- Ising-spin neural networks with spatial structure -- Kinetically disordered lattice systems -- A programming system for implementing neural nets -- An auto-augmenting neural network architecture for diagnostic reasoning -- Formal integrators and neural networks -- Disorderedmodels of acquired dyslexia -- Higher order memories in optimally structured neural networks -- Random Boolean networks for autoassociative memory: Optimization and sequential learning. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Combined for researchers and graduate students the articles from the Sitges Summer School together form an excellent survey of the applications of neural-network theory to statistical mechanics and computer-science biophysics. Various mathematical models are presented together with their interpretation, especially those to do with collective behaviour, learning and storage capacity, and dynamical stability. | ||
| 650 | |a Thermodynamique | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Réseaux neuronaux (physiologie) | ||
| 650 | |a Réseaux neuronaux (informatique) | ||
| 650 | |a Mécanique statistique | ||
| 650 | |a Physique | ||
| 650 | |a Actes de congrès | ||
| 711 | 2 | |a Sitges conference on statistical mechanics |n (11 |d :1990 |c :Sitges, Espagne). |4 aut | |
| 776 | 0 | |0 02180172X |t Statistical mechanics of neural networks |o proceedings of the XIth Sitges conference, Sitges, Barcelona, Spain, 3-7 June 1990 |f Luis Garrido, (ed.) |c Berlin |n Springer-Verlag |d 1990 |p 1 vol. (VI-477 p.) |s Lecture notes in physics |z 3-540-53267-6 | |
| 776 | 0 | |t Statistical Mechanics of Neural Networks |b Texte imprimé |z 9783662137840 | |
| 776 | 0 | |t Statistical Mechanics of Neural Networks |b Texte imprimé |z 9783662137857 | |
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