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.
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.
Luis Garrido
Lernvorgänge behavior dynamische Stabilität learning neural networks neuronale Netze