Reconfigurable Cellular Neural Networks and Their Applications
This book explores how neural networks can be designed to analyze sensory data in a way that mimics natural systems. It introduces readers to the cellular neural network (CNN) and formulates it to match the behavior of the Wilson–Cowan model. In turn, two
- PDF / 4,802,329 Bytes
- 79 Pages / 439.371 x 666.143 pts Page_size
- 76 Downloads / 245 Views
Müştak E. Yalçın Tuba Ayhan Ramazan Yeniçeri
Reconfigurable Cellular Neural Networks and Their Applications 123
SpringerBriefs in Applied Sciences and Technology Nonlinear Circuits
Series Editors Luigi Fortuna, DIEEI, Università di Catania, Catania, Italy Guanrong Chen, Kowloon, Hong Kong SAR, P.R. China
SpringerBriefs in Nonlinear Circuits promotes and expedites the dissemination of substantive new research results, state-of-the-art subject reviews and tutorial overviews in nonlinear circuits theory, design, and implementation with particular emphasis on innovative applications and devices. The subject focus is on nonlinear technology and nonlinear electronics engineering. These concise summaries of 50–125 pages will include cutting-edge research, analytical methods, advanced modelling techniques and practical applications. Coverage will extend to all theoretical and applied aspects of the field, including nonlinear electronic circuit dynamics from modelling and design to their implementation. Topics include but are not limited to:
• • • • • • • • • • • • • • • • • • • •
nonlinear electronic circuits dynamics; oscillators; cellular nonlinear networks; arrays of nonlinear circuits; chaotic circuits; system bifurcation; chaos control; active use of chaos; nonlinear electronic devices; memristors; circuit for nonlinear signal processing; wave generation and shaping; nonlinear actuators; nonlinear sensors; power electronic circuits; nonlinear circuits in motion control; nonlinear active vibrations; educational experiences in nonlinear circuits; nonlinear materials for nonlinear circuits; and nonlinear electronic instrumentation.
Contributions to the series can be made by submitting a proposal to the responsible Springer contact, Oliver Jackson ([email protected]) or one of the Academic Series Editors, Professor Luigi Fortuna ([email protected]) and Professor Guanrong Chen ([email protected]). Members of the Editorial Board: Majid Ahmadi; Wayne Arter; Adi Bulsara; Arturo Buscarino; Syamal K. Dana; Mario Di Bernardo; Alexander Fradkov; Mattia Frasca; Liviu Goras; Mo Jamshidi; Mario Lavorgna; Shin’ichi Oishi; Julien C. Sprott; Alberto Tesi; Ronald Tetzlaff; Mustak E. Yalcin; Simin Yu; Jacek M. Zurada Publishing Ethics: Researchers should conduct their research from research proposal to publication in line with best practices and codes of conduct of relevant professional bodies and/or national and international regulatory bodies. For more details on individual ethics matters please see: https://www.springer.com/gp/authors-editors/journal-author/journalauthor-helpdesk/publishing-ethics/14214
More information about this series at http://www.springer.com/series/15574
Müştak E. Yalçın Tuba Ayhan Ramazan Yeniçeri •
•
Reconfigurable Cellular Neural Networks and Their Applications
123
Müştak E. Yalçın Department of Electronics and Telecommunications Engineering Istanbul Technical University Istanbul, Turkey
Tuba Ayhan Department of Electronics and Telecommunications Engineering Istanbul Tech
Data Loading...
