
Memristor and Memristive Neural Networks
by Alex Pappachen James (ed.)
Publisher: InTech 2018
ISBN-13: 9789535139485
Number of pages: 324
Description:
This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: (1) Devices, (2) Models and (3) Applications. In this book, various memristor models are discussed, from a mathematical framework to implementations in SPICE and verilog, that will be useful for the practitioners and researchers to get a grounding on the topic.
Download or read it online for free here:
Download link
(multiple PDF files)
Similar books
Neural Fuzzy Systemsby Robert Fuller - Abo Akademi University
This text covers inference mechanisms in fuzzy expert systems, learning rules of feedforward multi-layer supervised neural networks, Kohonen's unsupervised learning algorithm for classification of input patterns, and fuzzy neural hybrid systems.
(15575 views)
Neural Network Designby Martin T. Hagan, et al.
This book provides a clear and detailed coverage of fundamental neural network architectures and learning rules. In it, the authors emphasize a coherent presentation of the principal neural networks, methods for training them and their applications.
(14257 views)
Artificial Neural Networks: Architectures and Applicationsby Kenji Suzuki (ed.) - InTech
Artificial neural networks may be the single most successful technology in the last two decades. The purpose of this book is to provide recent advances in architectures, methodologies, and applications of artificial neural networks.
(17375 views)
Artificial Neural Networks: Methodological Advances and Biomedical Applicationsby Kenji Suzuki - InTech
The purpose of this book is to provide recent advances of artificial neural networks in biomedical applications. The target audience includes professors and students in engineering and medical schools, medical doctors, healthcare professionals, etc.
(14784 views)