Logo

Memristor and Memristive Neural Networks

Small book cover: Memristor and Memristive Neural Networks

Memristor and Memristive Neural Networks
by

Publisher: InTech
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.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: Neural Networks: A Systematic IntroductionNeural Networks: A Systematic Introduction
by - Springer
A general theory of artificial neural nets. The book starts with the simple nets, and shows how the models change when more general computing elements and net topologies are introduced. Suitable as a basis for university courses in neurocomputing.
(20741 views)
Book cover: Neural Network DesignNeural Network Design
by
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.
(14345 views)
Book cover: Artificial Neural NetworksArtificial Neural Networks
by - arXiv.org
These are lecture notes for my course on Artificial Neural Networks. This course describes the use of neural networks in machine learning: deep learning, recurrent networks, and other supervised and unsupervised machine-learning algorithms.
(8461 views)
Book cover: Artificial Neural Networks: Methodological Advances and Biomedical ApplicationsArtificial Neural Networks: Methodological Advances and Biomedical Applications
by - 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.
(14875 views)