Introduction to the Theory of Neural Computation

Redwood City, California: Addison-Wesley Publishing Co., 1991. First Edition (presumed; no prior editions or printings cited). Octavo in blue boards, 327 pp: illustrations; 25 cm. Near fine(+); boards glossy; small stamp to free endpaper; pages crisp, bright, and clean; binding tight. Hardcover. ISBN: 9780201503951

Lecture notes volume 1 | Contents: About the Santa Fe Institute , Santa Fe Institute Editorial Board September 1990 , Santa Fe Institute Studies in the Sciences of Complexity , Series Foreword , Foreword , Foreword , Preface , Introduction , The Hopfield Model , Extensions of the Hopfield Model , Optimization Problems , Simple Perceptrons , Multi-Layer Networks , Recurrent Networks , Unsupervised Hebbian Learning , Unsupervised Competitive Learning , Formal Statistical Mechanics of Neural Networks, Statistical Mechanics