Applied Artificial Higher Order Neural Networks for Control and Recognition

Nonfiction, Computers, Advanced Computing, Engineering, Neural Networks, Artificial Intelligence, General Computing
Cover of the book Applied Artificial Higher Order Neural Networks for Control and Recognition by , IGI Global
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781522500650
Publisher: IGI Global Publication: May 5, 2016
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781522500650
Publisher: IGI Global
Publication: May 5, 2016
Imprint: Information Science Reference
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from IGI Global

Cover of the book Methodologies and Applications for Chemoinformatics and Chemical Engineering by
Cover of the book Effective Open Innovation Strategies in Modern Business by
Cover of the book Anywhere Working and the New Era of Telecommuting by
Cover of the book Handbook of Research on Strategic Management in Small and Medium Enterprises by
Cover of the book Global Perspectives and Local Challenges Surrounding International Student Mobility by
Cover of the book Handbook of Research on Seismic Assessment and Rehabilitation of Historic Structures by
Cover of the book Information Systems and New Applications in the Service Sector by
Cover of the book Handbook of Research on Integrating Technology Into Contemporary Language Learning and Teaching by
Cover of the book Applied Chaos and Complexity Theory in Education by
Cover of the book Handbook of Research on Innovations in Information Retrieval, Analysis, and Management by
Cover of the book Electronic Payment Systems for Competitive Advantage in E-Commerce by
Cover of the book Applied Behavioral Economics Research and Trends by
Cover of the book Advancing Medical Education Through Strategic Instructional Design by
Cover of the book Innovations in Database Design, Web Applications, and Information Systems Management by
Cover of the book Interdisciplinary Perspectives on Contemporary Conflict Resolution by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy