System and circuit design for biologically-inspired learning

• Corporate Author: IGI Global.
• Other Authors: Temel, Turgay, 1970-
• Format: Electronic
• Language: English
• Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2011.
• Subjects: Neural networks (Computer science); Biologically-inspired computing.; Logic circuits.; Biologically-inspired learning and intelligent system modeling; Representation of neuro-information and knowledge; Recurrent neural networks; Self-organizing fuzzy neural network training; Neuromodeling and natural optimization; DCGA optimization techniques; Parallel hardware for artificial neural networks; Neural network circuits; Analog circuit design with fuzzy inference; Implantable neural decoders
• Online Access: Chapter PDFs via platform:
• Physical Description: electronic texts (348 p.) : ill., digital files.; Also available in print.
• Format: Mode of access: World Wide Web.
• Bibliography: Includes bibliographical references.
• ISBN: 9781609600204 (ebook)
• Access: Restricted to subscribers or individual electronic text purchasers.

"The objective of the book is to introduce and bring together well-known circuit design aspects, as well as to cover up-to-date outcomes of theoretical studies in decision-making, biologically-inspired, and artificial intelligent learning techniques"--Provided by publisher.