Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/19230
DC FieldValue
dc.titleComputational intelligence techniques for data analysis
dc.contributor.authorANG JI HUA BRIAN
dc.date.accessioned2011-02-16T18:00:16Z
dc.date.available2011-02-16T18:00:16Z
dc.date.issued2009-01-16
dc.identifier.citationANG JI HUA BRIAN (2009-01-16). Computational intelligence techniques for data analysis. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/19230
dc.description.abstractThe use of computational intelligence techniques for data analysis is illustrated in this thesis, focusing particularly on identifying the existing issues and proposing new and effective algorithms. The data analysis techniques studied can be largely classified into two main approaches, namely non-rule-based approach and rule-based approach.For non-rule-based approach, the architectural design issues of Neural Networks (NN) for classification are discussed. An improved NN architecture with reduced interference in the input space is investigated. In addition, a novel evolutionary approach, which uses a growth probability, is proposed to optimize the weights and architecture of NN.For rule-based approach, an Evolutionary Memetic Algorithm (EMA) is used for rule extraction to discover knowledge from data sets. In EMA, two different local search schemes are used to complement the global search capability of evolutionary algorithm. In addition, a multi-objective rule-based technique for time series forecasting is also proposed.
dc.language.isoen
dc.subjectComputational intelligence, data analysis, neural networks, evolutionary algorithms, classification, time series forecasting.
dc.typeThesis
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.supervisorTAN KAY CHEN
dc.contributor.supervisorABDULLAH AL MAMUN
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Ph.D Theses (Open)

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Ang Ji Hua Brian 2009 NUS ECE.pdf1.59 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.