Non-Linear Feedback Neural Networks VLSI Implementations and Applications /

Non-Linear Feedback Neural Networks VLSI Implementations and Applications /

This book aims to present a viable alternative to the Hopfield Neural Network (HNN) model for analog computation. It is well known that the standard HNN suffers from problems of convergence to local minima, and requirement of a large number of neurons and synaptic weights. Therefore, improved soluti...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Ansari, Mohd. Samar (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	New Delhi : Springer India : Imprint: Springer, 2014.
Σειρά:	Studies in Computational Intelligence, 508
Θέματα:	Engineering. Neural networks (Computer science). Computational intelligence. Electronics. Microelectronics. Electronic circuits. Computational Intelligence. Circuits and Systems. Mathematical Models of Cognitive Processes and Neural Networks. Electronics and Microelectronics, Instrumentation.
Διαθέσιμο Online:	Full Text via HEAL-Link

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Design Exploration of Emerging Nano-scale Non-volatile Memory
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Statistical Analysis and Optimization for VLSI: Timing and Power
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Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications
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