10 ENGLISH BOOKS RELATING TO «HOPFIELD»
Discover the use of
hopfield in the following bibliographical selection. Books relating to
hopfield and brief extracts from same to provide context of its use in English literature.
1
Neural Computation in
Hopfield Networks and Boltzmann Machines
D. H. Ackley, G. E. Hinton, and T. J. Sejnowski modified the Hopfield network by introducing the simulated annealing algorithm to search out the deepest minima. This is accomplished by - loosely speaking - shaking the machine.
James P. Coughlin, Robert H. Baran, 1995
2
Elements of Artificial Neural Networks
6.2.2 Storage capacity of Hopfield networks* The performance of Hopfield nets
depends considerably on the number of target attractor patterns that are to be
stored. In this section, we consider some results that provide a "rule of thumb" that
...
Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka, 1997
3
Pattern Recognition with Neural Networks in C++
For a detailed discussion on the synchronous update method for the Hopfield
networks see Kung [1993]). In the Hopfield model every local minimum of the
energy inn '.. •<< must be an at true tor. An attractor is a state of equilibrium such
that ...
Abhijit S. Pandya, Robert B. Macy, 1995
4
An Introduction to Neural Networks
Chapter. Seven. Associative. memories: the. Hopfield. net. Figure 7.1 Associative
recall with binarized letter images. 7.1 The nature of associative memory In
common parlance, “remembering” something consists of associating an idea or ...
5
Dynamical Systems with Applications using MATLAB®
A primary application of the Hopfield network is as an associative memory, where
the network is used to store patterns for future retrieval. The synaptic weights are
set such that the stable points of the system correspond with the input patterns ...
6
Principles of Artificial Neural Net. . (
Chapter. 7. Hopfield. Networks. 7.1. Introduction All networks considered until
now assumed only forward flow from input to output, namely nonrecurrent
interconnections. This guaranteed network stability. Since biological neural
networks ...
7
Neural Networks: A Systematic Introduction
Transformation of a Hopfield network into a perceptron weights w\2, Wis, . . . , win
and the threshold 6\ must be updated. This means that it is possible to use
perceptron learning or the delta rule locally. During training all units are set to the
...
8
An Introduction to Biological and Artificial Neural Networks ...
The energy is defined by Hopfield as shown below: > 3 I What happens to the
energy when the output of a node changes? If the term in the brackets of the
above equation is positive, then the derivative is negative and we need to
increase the ...
Steven K. Rogers, Matthew Kabrisky, 1991
9
Neural Networks and Micromechanics
Among them, the most popular have been the Hopfield neural network [38, 39],
adaptive resonance theory developed by S. Grossberg and G. Carpenter [40, 41],
Kohonen neural networks [42], Fukushima cognitron and neocognitron [43], ...
Ernst Kussul, Tatiana Baidyk, Donald C. Wunsch, 2009
10
Advanced Intelligent Computing Theories and Applications: ...
Hopfield neural network (HNN) is an efficient optimization model, but it easily
produces random noise. White noise is an ideal model and is more convenient in
the mathematical analysis. This paper presents a new model of Hopfield neural ...
De-Shuang Huang, Zhongming Zhao, Vitoantonio Bevilacqua, 2010
10 NEWS ITEMS WHICH INCLUDE THE TERM «HOPFIELD»
Find out what the national and international press are talking about and how the term
hopfield is used in the context of the following news items.
Scientists study how memory patterns propagate in the hippocampus
In 1982, scientist John Hopfield proposed a framework for a recurrent artificial neural network, since named the Hopfield network. It describes ... «Medical Xpress, Jul 15»
Wolfram Image Identification Project - A Neural Network By Any …
Next neural networks are described as being "attractors", which is certainly what a Hopfield network is, but the description seems less ... «iProgrammer, May 15»
Six Perfect Burger And Beer Pairings in Austin
-Marcus TenHarmsel, Hopfield's GM and Certified Cicerone. WHERE: Hopdoddy THE BURGER: The Goodnight—angus beef, tillamook ... «Eater LA, Apr 15»
Councillors agree new development despite more than 450 public …
The plot, an ancient hopfield, last year came bottom of a list of seven greenfield sites Farnham residents considered suitable for development. «Get Surrey, Apr 15»
Mesoscopic Brain Dynamics for Mind Uploading
Greenwood Village, CO: Roberts & Co. Publ. Li Z & Hopfield J J (1989) Modeling the olfactory bulb and its neural oscillatory processings. Biol. «h+ Magazine, Mar 15»
Brain Modeling Using Artificial Neurons
Reading, MA: Addison-Wesley. Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational properties. «Onislam.net, Feb 15»
No rest for the workers on Christmas Day in Brentwood
Hopfield Animal Sanctuary said there would be a minimum of four working today up to about 2pm - with someone coming in later for a late night ... «Brentwood Gazette, Dec 14»
Mendocino Co. history: 1911 Hopland ceremony kicks off rail way …
Harriet Lee Hammond, wife of President Hammond of the Clear Lake Railroad company, breaks ground at Purrington's hopfield in Hopland on ... «Ukiah Daily Journal, Nov 14»
Neural Turing Machines Learn Their Algorithms
If you know about Hopfield networks this will sound familiar, and indeed the memory is a modified content addressable memory. So far this just ... «iProgrammer, Nov 14»
Nick Bostrom's “Superintelligence” (Part II)
We are now waiting for the equivalent of John Hopfield's "annealing" algorithm that in 1982 made neural networks easier to implement. «Institute for Ethics and Emerging Technologies, Oct 14»
