Artificial Neural Networks
Publisher: Wikibooks 2010
Description:
Artificial neural networks are a computational tool, based on the properties of biological neural systems. Neural networks excel in a number of problem areas where conventional von Neumann computer systems have traditionally been slow and inefficient. This book is going to discuss the creation and use of artificial neural networks.
Download or read it online for free here:
Read online
(online html)
Similar books

by Alex Pappachen James (ed.) - InTech
This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: 1) Devices, 2) Models and 3) Applications. Various memristor models are discussed.
(7200 views)

by William Bialek - arXiv
We all are fascinated by the phenomena of intelligent behavior, as generated by our own brains. As physicists we want to understand if there are some general principles that govern the dynamics of the neural circuits that underlie these phenomena.
(11421 views)

by Eugene M. Izhikevich, at al. - Scholarpedia
Neuroscience, Electrophysiology, Neuron, Network Dynamics, Brain Models, Synapse, Memory, Conditioning, Consciousness, Vision, Olfaction, Neuroimaging, Dynamical Systems, Oscillators, Synchronization, Pattern Formation, Chaos, Bifurcations, etc.
(17123 views)

by Raul Rojas - Springer
A general theory of artificial neural nets. The book starts with the simple nets, and shows how the models change when more general computing elements and net topologies are introduced. Suitable as a basis for university courses in neurocomputing.
(18840 views)