Title :
Artificial neural networks
Author_Institution :
Idaho State Univ., Pocatello, ID, USA
Abstract :
Artificial neural networks are explained, and the different types are described. Three different tasks for which they are suitable are discussed. They are pattern classification and associative memory, self-organization and feature extraction, and optimization.<>
Keywords :
content-addressable storage; neural nets; optimisation; pattern recognition; artificial neutral networks; associative memory; feature extraction; optimization; pattern classification; self-organization; Artificial neural networks; Biological neural networks; Biological systems; Equations; Feedforward neural networks; Network topology; Neural networks; Neurons; Robotics and automation; Transfer functions;
Journal_Title :
Potentials, IEEE
