Neural ARX Models and PAC Learning

The PAC learning theory creates a framework to assess the learning properties of models such as the required size of the training samples and the similarity between the training and training performances. These properties, along with stochastic stability, form the main characteristics of a typical d...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Hamilton, Howard J
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Connectionism. Neural networks Evolutionary Programming Exact sciences and technology Learning Theory Neural Networks Nonlinear ARX Models
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!