Understanding Neural Networks The Experimenter's Guide
Author: John Iovine
Number Of Pages: 166
Details: Understanding Neural Networks is an introductory text to artificial neural networks. The book begins with examining biological neurons in the human brain and defining their real world mathematical and electronic equivalent. Building upon this foundation the book contains hardware and software projects that illustrate neural networks. Hardware projects include a op-amp neuron that tracks a light source, speech recognition system, and machine vision system. Software projects include a Preceptron program and Back-Propagation networks.
Release Date: 31-08-2012
Package Dimensions: 8.8 x 6.0 x 0.5 inches