Principles of Distributed Systems

Principles of Distributed Systems (Lecture Notes in Computer Science) by Marcos K. Aguilera
English | 15 Dec. 2014 | ISBN: 3319144715 | 520 Pages | PDF | 9 MB
The papers are organized in topical sections on consistency; distributed graph algorithms; fault tolerance; models; radio networks; robots; self-stabilization; shared data structures; shared memory; synchronization and universal construction.
An Introduction to Neural Networks

An Introduction to Neural Networks by Kevin Gurney
English | Aug. 7, 1997 | ISBN: 1857285034 | 317 Pages | PDF | 4 MB
Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps.