Study of Intelligent Business Forecasting using Neuro Fuzzy Approach

dc.contributor.guide	Vinod Sharma
dc.coverage.spatial	Neuro-fuzzy systems, Fuzzy modelling, neuro-fuzzy systems in Business forecasting and interpretability-accuracy tradeoff issues in neuro-fuzzy systems
dc.creator.researcher	Rajab Sharifa
dc.date.accessioned	2018-08-20T12:16:33Z
dc.date.available	2018-08-20T12:16:33Z
dc.date.awarded
dc.date.completed	07- 09 - 2017
dc.date.registered	01- 05 2014
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	CD
dc.format.dimensions
dc.format.extent	Initial pages: 21 (In Romans), Total pages:227
dc.identifier.uri	http://hdl.handle.net/10603/212837
dc.language	English
dc.publisher.institution	Department of Computer Science and IT
dc.publisher.place	Jammu and Kashmir
dc.publisher.university	University of Jammu
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Neuro-fuzzy systems; Soft computing; Fuzzy modelling; Forecasting accuracy; Interpretability; Fuzzy systems; Fuzzy sets; Membership functions; System identification; Structure learning; Parameter learning; Rule base reduction; Constrained learning
dc.title	Study of Intelligent Business Forecasting using Neuro Fuzzy Approach
dc.title.alternative
dc.type.degree	Ph.D.