An immune system inspired clustering and classification method to detect critical areas in electrical power networks
type: Item
instance of: scholarly article
title: An immune system inspired clustering and classification method to detect critical areas in electrical power networks
zbMATH Open document ID: 1213.68129
author: N. C. Woolley
author: J. V. Milanović
published in: Natural Computing
publication date: 2011-05-23T00:00:00Z
Mathematics Subject Classification ID: 68M14
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5898882
zbMATH Keywords: clustering
zbMATH Keywords: classification
zbMATH Keywords: artificial immune systems
zbMATH Keywords: AIS
zbMATH Keywords: power systems
zbMATH Keywords: critical network areas
zbMATH Keywords: overloaded lines
describes a project that uses: clusfind
describes a project that uses: LIBSVM
MaRDI profile type: Publication
full work available at URL: s11047-010-9204-2
OpenAlex ID: W2146347983
cites work: Q4435267
cites work: Support-vector networks
cites work: Q3330546
cites work: Q3067756
cites work: Finding Groups in Data
cites work: Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel
cites work: Artificial immune systems -- today and tomorrow
cites work: Immune Systems and Computation: An Interdisciplinary Adventure
cites work: Q4386961
DOI: 10.1007/S11047-010-9204-2
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description: scientific article; zbMATH DE number 5898882