"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.
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Turgay Temel, received his PhD in 2002 in the area of hybrid-mode circuit design based on multi-valued logic and higher radices. In the field, he just completed a state-funded project which aims at using analog-wise information processing with digital concepts as a microarchitecture. The project was the first in this field in literature to his knowledge. His research interest diversifies, which spans to machine learning, neuroscience, biomedical engineering, sensor networks, biologically-inspired system and circuit design and high-performance circuit design. Recently, he has been focusing on reconfigurable analog systems with the hope that major units of intelligence can be emulated in an evolvable manner. The sensor development for biological information processing and bio-sensor systems have been at the core of his current scope. He has also developed unsupervised learning, i.e. clustering, techniques and currently working on single-step methods for high-performance pattern recognition.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnDespite significant research and studies in biologically-inspired circuit design, the capability of the biological creatures still excels that of artificially human-made systems inspired in terms of adaptivity, sensitivity, and sp. Seller Inventory # 4243099
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Despite significant research and studies in biologically-inspired circuit design, the capability of the biological creatures still excels that of artificially human-made systems inspired in terms of adaptivity, sensitivity, and spectral characteristics. System and Circuit Design for Biologically-Inspired Intelligent Learning aims to bridge that gap in the belief that compact organization and arrangement of the circuit and system design will be a major factor in attaining the pursued benefits of biological systems. Including research from abstract fields such as psychology to more concrete topics including circuit design, this text is designed for even fresh reader to make a smooth transition from principles to system/circuit architectures which simulate learning intelligence. Seller Inventory # 9781609600181
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