Non-Linear Feedback Neural Networks VLSI Implementations and Applications /

• 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.

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...

Πίνακας περιεχομένων:

• Introduction
• Background
• Voltage-mode Neural Network for the Solution of Linear Equations
• Mixed-mode Neural Circuit for Solving Linear Equations
• Non-Linear Feedback Neural Circuits for Linear and Quadratic Programming
• OTA-based Implementations of Mixed-mode Neural Circuits
• Appendix A: Mixed-mode Neural Network for Graph Colouring
• Appendix B: Mixed-mode Neural Network for Ranking.