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System and circuit design for biologically-inspired learning

"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.

Bibliographic Details
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
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