Neural Networks and Qualitative Physics

Discover the fascinating intersection of artificial intelligence and mathematics in Neural Networks and Qualitative Physics by Professor Aubin, published by Cambridge University Press in 1996. This hardback edition spans 302 pages and delves into essential mathematical methods that are pivotal in two key domains: neural networks and qualitative physics.

Professor Aubin expertly explores the application of control and viability theory within neural networks and cognitive systems, as well as the significance of set-valued analysis in qualitative analysis and simulation. This book is an invaluable resource for researchers and students alike, providing deep insights into the mathematical frameworks that underpin advanced AI technologies. Enhance your understanding of these critical fields and their mathematical foundations with this comprehensive guide.