Statistical Mechanics of Neural Networks. Proceedings of the XIth Sitges Conference Sitges, Barcelona, Spain, 3-7 June 1990 (Lecture notes in physics, vol.368) - gebunden oder broschiert

EAN (ISBN-13): 9783540532675
ISBN (ISBN-10): 3540532676
Gebundene Ausgabe
Erscheinungsjahr: 1990
Herausgeber: Springer, 1990.

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ISBN/EAN: 3540532676

ISBN - alternative Schreibweisen:
3-540-53267-6, 978-3-540-53267-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: luis garrido
Titel des Buches: spain, network, lectures statistical physics, barcelona, statistical mechanics neural networks proceedings the xith sitges conference sitges, lecture notes physics

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Daten vom Verlag:

Autor/in: Luis Garrido
Titel: Lecture Notes in Physics; Statistical Mechanics of Neural Networks - Proceedings of the XIth Sitges Conference Sitges, Barcelona, Spain, 3–7 June 1990
Verlag: Springer; Springer Berlin
477 Seiten
Erscheinungsjahr: 1990-12-12
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Deutschland.
Gewicht: 1,005 kg
Sprache: Englisch
85,59 € (DE)
87,99 € (AT)
106,60 CHF (CH)
Not available, publisher indicates OP

BB; Book; Hardcover, Softcover / Physik, Astronomie/Thermodynamik; Thermodynamik und Wärme; Verstehen; dynamische Stabilität; behavior; Lernvorgänge; neuronale Netze; learning; neural networks; C; Thermodynamics; Physics and Astronomy; Complex Systems; Artificial Intelligence (incl. Robotics); Statistical Physics and Dynamical Systems; Statistische Physik; Dynamik und Statik; Künstliche Intelligenz; Robotik; Statistische Physik; BC; EA

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.- Disordered models of acquired dyslexia.- Higher order memories in optimally structured neural networks.- Random Boolean networks for autoassociative memory: Optimization and sequential learning.
These articles are an excellent introduction for both researchers and students to the applications of the theory of neural networks to statistical mechanics, computer science, and biophysics. Mathematical models and their applications are presented.