skip to content
An introduction to neural networks Preview this item
ClosePreview this item
Checking...

An introduction to neural networks

Author: James A Anderson
Publisher: Cambridge, Mass. : MIT Press, ©1995.
Edition/Format:   Book : EnglishView all editions and formats
Database:WorldCat
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

 

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Document Type: Book
All Authors / Contributors: James A Anderson
ISBN: 0262011441 9780262011440 0262510812 9780262510813
OCLC Number: 30971691
Notes: "A Bradford book."
Description: xi, 650 pages : illustrations ; 27 cm
Contents: Properties of Single Neurons --
Synaptic Integration and Neuron Models --
Essential Vector Operations --
Lateral Inhibition and Sensory Processing --
Simple Matrix Operations --
The Linear Associator: Background and Foundations --
The linear Associator: Simulations --
Early Network Models: The Perceptron --
Gradient Descent Algorithms --
Representation of Information --
Applications of Simple Associators: Concept Formation and Object Motion --
Energy and Neural Networks: Hopfield Networks and Boltzmann Machines --
Nearest Neighbor Models --
Adaptive Maps --
The BSB Model: A Simple Nonlinear Autoassociative Neural Network --
Associative Computation --
Teaching Arithmetic to a Neural Network.
Responsibility: James A. Anderson.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


<http://www.worldcat.org/oclc/30971691>
library:oclcnum"30971691"
library:placeOfPublication
library:placeOfPublication
rdf:typeschema:Book
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:copyrightYear"1995"
schema:creator
schema:datePublished"1995"
schema:description"Properties of Single Neurons -- Synaptic Integration and Neuron Models -- Essential Vector Operations -- Lateral Inhibition and Sensory Processing -- Simple Matrix Operations -- The Linear Associator: Background and Foundations -- The linear Associator: Simulations -- Early Network Models: The Perceptron -- Gradient Descent Algorithms -- Representation of Information -- Applications of Simple Associators: Concept Formation and Object Motion -- Energy and Neural Networks: Hopfield Networks and Boltzmann Machines -- Nearest Neighbor Models -- Adaptive Maps -- The BSB Model: A Simple Nonlinear Autoassociative Neural Network -- Associative Computation -- Teaching Arithmetic to a Neural Network."@en
schema:exampleOfWork<http://worldcat.org/entity/work/id/14199331>
schema:inLanguage"en"
schema:name"An introduction to neural networks"@en
schema:publication
schema:publisher
schema:workExample
schema:workExample
umbel:isLike<http://bnb.data.bl.uk/id/resource/GB9545136>
wdrs:describedby

Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.