Data Mining In Network Without Higher Order Connections.

Higher order neural networks (HONN) have been shown to have impressive computational, storage and learning capabilities.

Bibliographic Details
Main Author: Sathasivam, Saratha
Format: Conference or Workshop Item
Published: 2009
Subjects:
Online Access:http://eprints.usm.my/20402/
http://eprints.usm.my/20402/1/iccs%2Dx_subject2link2.pdf
id usm-20402
recordtype eprints
spelling usm-204022017-07-27T04:45:51Z Data Mining In Network Without Higher Order Connections. Sathasivam, Saratha QA1 Mathematics (General) Higher order neural networks (HONN) have been shown to have impressive computational, storage and learning capabilities. 2009-12 Conference or Workshop Item PeerReviewed application/pdf http://eprints.usm.my/20402/1/iccs%2Dx_subject2link2.pdf Sathasivam, Saratha (2009) Data Mining In Network Without Higher Order Connections. In: 10th Islamic Countries Conference On Statistical Science, , 20-23 december 2009, Cairo,Egypt . http://eprints.usm.my/20402/
institution Universiti Sains Malaysia
Universiti Sains Malaysia
repository_type Digital Repository
institution_category Local University
building USM Repository
collection Online Access
topic QA1 Mathematics (General)
spellingShingle QA1 Mathematics (General)
Sathasivam, Saratha
Data Mining In Network Without Higher Order Connections.
description Higher order neural networks (HONN) have been shown to have impressive computational, storage and learning capabilities.
format Conference or Workshop Item
author Sathasivam, Saratha
author_facet Sathasivam, Saratha
author_sort Sathasivam, Saratha
title Data Mining In Network Without Higher Order Connections.
title_short Data Mining In Network Without Higher Order Connections.
title_full Data Mining In Network Without Higher Order Connections.
title_fullStr Data Mining In Network Without Higher Order Connections.
title_full_unstemmed Data Mining In Network Without Higher Order Connections.
title_sort data mining in network without higher order connections.
publishDate 2009
url http://eprints.usm.my/20402/
http://eprints.usm.my/20402/1/iccs%2Dx_subject2link2.pdf
first_indexed 2018-09-08T06:51:01Z
last_indexed 2018-09-08T06:51:01Z
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