A Review of Adaptive Neural Networks

Abstract

Artificial neural networks are inspired from their biological counterparts. Adaptation is one of the most important features of both types of networks. Adaptive artificial neural networks are a class of networks used in dynamic environments. They are characterized by online learning. A number of techniques are used to provide adaptability to neural networks: adaptation by weight modification, by neuronal property modification, and by network structure modification. A brief review of various types of implementations is provided.