Emerging Capabilities and Applications of Artificial Higher Order Neural Networks - Rilegato

Zhang, Ming

Rilegato

ISBN 10: 1799835634 ISBN 13: 9781799835639

Casa editrice: Engineering Science Reference, 2021

Riassunto

Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box artificial higher order neural networks (HONNs) play an important role in this new direction. HONNs will challenge traditional artificial neural network products and change the research methodology that people are currently using in control and recognition areas for the control signal generating, pattern recognition, nonlinear recognition, classification, and prediction. Since HONNs are open box models, they can be easily accepted and used by individuals working in information science, information technology, management, economics, and business fields.

Emerging Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition areas and explains why HONNs can approximate any nonlinear data to any degree of accuracy, their ease of use, and how they can have better nonlinear data recognition accuracy than SAS nonlinear procedures. Featuring coverage on a broad range of topics such as nonlinear regression, pattern recognition, and data prediction, this book is ideally designed for data analysists, IT specialists, engineers, researchers, academics, students, and professionals working in the fields of economics, business, modeling, simulation, control, recognition, computer science, and engineering research.

Dettagli dell'edizione

• Editore: Engineering Science Reference
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 1799835634
• ISBN 13: 9781799835639
• Rilegatura: Copertina rigida
• Numero di pagine: 540
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile