Neural network modeling : statistical mechanics and cybernetic perspectives
✍ Scribed by De Groff, Dolores F.; Neelakanta, Perambur S.
- Publisher
- CRC Press
- Year
- 1994
- Tongue
- English
- Leaves
- 259
- Category
- Library
No coin nor oath required. For personal study only.
✦ Table of Contents
Introduction Neural and Brain Complex Concepts of Mathematical Neurobiology Pseudo-Thermodynamics of Neural Activity The Physics of Neural Activity: A Statistical Mechanics Perspective Stochastic Dynamics of the Neural Complex Neural Field Theory: Quasiparticle Dynamics and Wave Mechanics Analogies of Neural Networks Informatic Aspects of Neurocybernetics Appendices: Magnetism and the Ising Spin-Glass Model Matrix Methods in Little's Model Overlap of Replicas and Replica Symmetry Bibliography Index
✦ Subjects
Neural networks (Computer science);Neuronales Netz;Stochastisches dynamisches System;Neuronales Netz -- Modell;NEURONALE NETZWERKE + KONNEKTIONISMUS (KÜNSTLICHE INTELLIGENZ);NEURONALE NETZWERKE + NEUROMORPHE SYSTEME (NEUROLOGIE);COMPUTERSIMULATION;LEHRBÜCHER (DOKUMENTENTYP);RÉSEAUX DE NEURONES ARTIFICIELS (INTELLIGENCE ARTIFICIELLE);NEURAL NETWORKS + CONNECTIONISM (ARTIFICIAL INTELLIGENCE);NEURAL NETWORKS + NEUROMORPHIC SYSTEMS (NEUROLOGY);RESEAUX DE NEURONES (NEUROPHYSIOLOGIE);SIMULATION
📜 SIMILAR VOLUMES
Sawtooth Software Conference Proceedings: Sequim, WA, 1997, 31 p.<br/>Engl. Излагается подход и результат применения нейросети для регрессионного анализа.
<p>This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks. The book discusses in details important concepts and techniques including the cavity method, the mean-field theory, replica techniques, the Nishimori condit