Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications
eBook - ePub

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

  1. 568 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

About this book

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects and perspectives of ongoing research on relevant topics, all involving networks of mem-elements devices in diverse applications. Sections contribute to the discussion of memristive materials and transport mechanisms, presenting various types of physical structures that can be fabricated to realize mem-elements in integrated circuits and device modeling. As the last decade has seen an increasing interest in recent advances in mem-elements and their applications in neuromorphic circuits and artificial intelligence, this book will attract researchers in various fields. - Covers a broad range of interdisciplinary topics between mathematics, circuits, realizations, and practical applications related to nonlinear dynamical systems, nanotechnology, analog and digital systems, computer science and artificial intelligence - Presents recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) - Includes interesting applications of mem-elements in nonlinear dynamical systems, analog and digital systems, neuromorphic circuits, computer science and artificial intelligence

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Yes, you can access Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications by Christos Volos,Viet-Thanh Pham in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications
  2. Chapter 1 The fourth circuit element was found: a brief history
  3. Chapter 2 Implementing memristor emulators in hardware
  4. Chapter 3 On the FPGA implementation of chaotic oscillators based on memristive circuits
  5. Chapter 4 Microwave memristive components for smart RF front-end modules
  6. Chapter 5 The modeling of memcapacitor oscillator motion with ANN and its nonlinear control application
  7. Chapter 6 Rich dynamics of memristor based Liénard systems
  8. Chapter 7 Hidden extreme multistability generated from a novel memristive two-scroll chaotic system
  9. Chapter 8 Extreme multistability, hidden chaotic attractors and amplitude controls in an absolute memristor Van der Pol–Duffing circuit: dynamical analysis and electronic implementation
  10. Chapter 9 Memristor-based novel 4D chaotic system without equilibria: Analysis and projective synchronization
  11. Chapter 10 Memristor Helmholtz oscillator: analysis, electronic implementation, synchronization and chaos control using single controller
  12. Chapter 11 Design guidelines for physical implementation of fractional-order integrators and its application in memristive systems
  13. Chapter 12 Control of bursting oscillations in memristor based Wien-bridge oscillator
  14. Chapter 13 Memristor, mem-systems and neuromorphic applications: a review
  15. Chapter 14 Guidelines for benchmarking non-ideal analog memristive crossbars for neural networks
  16. Chapter 15 Bipolar resistive switching in biomaterials: case studies of DNA and melanin-based bio-memristive devices
  17. Chapter 16 Nonvolatile memristive logic: a road to in-memory computing
  18. Chapter 17 Implementation of organic RRAM with ink-jet printer: from design to using in RFID-based application
  19. Chapter 18 Neuromorphic vision networks for face recognition
  20. Chapter 19 Synaptic devices based on HfO2 memristors
  21. Chapter 20 Analog circuit integration of backpropagation learning in memristive HTM architecture
  22. Chapter 21 Multi-stable patterns coexisting in memristor synapse-coupled Hopfield neural network
  23. Chapter 22 Fuzzy memristive networks
  24. Chapter 23 Fuzzy integral sliding mode technique for synchronization of memristive neural networks
  25. Chapter 24 Robust adaptive control of fractional-order memristive neural networks
  26. Chapter 25 Learning memristive spiking neurons and beyond
  27. Index