Show simple item record

dc.contributor.authorPakka, V. H.en
dc.contributor.authorThukararn, D.en
dc.contributor.authorKhincha, H. P.en
dc.identifier.citationPakka, V.H., Thukararn, D. and Khincha, H.P. (2004) Estimation of multi-pattern-to-single-pattern functions by combining feed forward neural networks and support vector machines. Neural Network Applications in Electrical Engineering, NEUREL 2004 pp. 25- 30en
dc.descriptionDepartment of Electrical Engineering, Indian Institute of Science, Bangalore, India.en
dc.description.abstractIn many fields there are situations encountered where a function has to be estimated to determine its output under new conditions. Some functions have one output corresponding to differing input patterns. Such types of function are difficult to map using a function approximation technique such as that employed by the multilayer perceptron networks. Hence to reduce this functional mapping to single pattern-to-single pattern type of condition, and then effectively estimate the function, we employ classification techniques such as the support vector machines. This paper describes in detail such a combined technique, which shows excellent results for a practical application in the field of power distribution systems.en
dc.publisher7th Seminar on Neural Network Applications in Electrical Engineeringen
dc.relation.ispartofseriesNEUREL 2004;pp. 25-30
dc.subjectFeedforward neural networksen
dc.subjectFunction approximationen
dc.subjectfunction estimationen
dc.subjectSupport vector machinesen
dc.subjectpower distribution systemsen
dc.titleEstimation of multi-pattern-to-single-pattern functions by combining feedforward neural networks and support vector machinesen
dc.researchgroupInstitute of Energy and Sustainable Developmenten
dc.researchinstituteInstitute of Energy and Sustainable Development (IESD)en

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record