Applied Artificial Higher Order Neural Networks for Control and Recognition

ISBN 10: 1522500634 / ISBN 13: 9781522500636

Edité par Information Science Reference, 2016

A propos de cet article

pp. 540.

N° de réf. du vendeur 377629754

Détails bibliographiques

• Titre: Applied Artificial Higher Order Neural Networks for Control and Recognition
• Éditeur: Information Science Reference
• Date de parution: 2016
• Langue: anglais
• ISBN à 10 chiffres: 1522500634
• ISBN à 13 chiffres: 9781522500636
• Reliure: Couverture rigide
• État de l'article: Used

A propos de ce titre

Synopsis

In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been proven to be faster, more accurate, and easier to explain than traditional neural networks, their applications are limitless. Applied Artificial Higher Order Neural Networks for Control and Recognition explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications. Emphasizing emerging research, practice, and real-world implementation, this timely reference publication is an essential reference source for researchers, IT professionals, and graduate-level computer science and engineering students.

À propos de l?auteur

Ming Zhang, Christopher Newport University, USA.