Neural Fuzzy Systems
by Robert Fuller
Publisher: Abo Akademi University 1995
ISBN/ASIN: 3790812560
Number of pages: 348
Description:
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 the basic principles of fuzzy neural hybrid systems.
Download or read it online for free here:
Download link
(1.5MB, PDF)
Similar books
Neural Networksby Ivan F Wilde - King's College London
These notes are based on lectures given in the Mathematics Department at King's College London. An attempt has been made to present a logical (mathematical) account of some of the basic ideas of the 'artificial intelligence' aspects of the subject.
(12086 views)
Thinking About the Brainby William Bialek - arXiv
We all are fascinated by the phenomena of intelligent behavior, as generated by our own brains. As physicists we want to understand if there are some general principles that govern the dynamics of the neural circuits that underlie these phenomena.
(8530 views)
Applied Artificial Neural Networksby Christian Dawson - MDPI AG
This Special Issue focuses on the application of neural networks to a diverse range of fields and problems. It collates contributions concerning neural network applications in areas such as engineering, hydrology and medicine.
(4807 views)
Memristor and Memristive Neural Networksby Alex Pappachen James (ed.) - InTech
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. Various memristor models are discussed.
(2902 views)