A Review of Adaptive Neural Networks
Rahul Palnitkar, James Cannady · 2004
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.