Abstract
Spin glasses are disordered magnetic materials with unusual magnetic properties. The complicated structure of the phase space, especially the existence of infinitely many metastable states, leads to long time relaxational processes. Important experiments and models are briefly outlined. Analytical and numerical results for a mean-field-model of spin glasses are discussed. This model has the interesting property to learn and process information, hence it has recently been suggested that it may be a simple model for neural networks.
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Kinzel, W. (1985). Spin Glasses as Model Systems for Neural Networks. In: Haken, H. (eds) Complex Systems — Operational Approaches in Neurobiology, Physics, and Computers. Springer Series in Synergetics, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-70795-7_7
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DOI: https://doi.org/10.1007/978-3-642-70795-7_7
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