Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 23 for “"Self-Organising Maps"”.
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An Efficient Multidimensional k-Anonymisation Strategy Using Self-Organising Maps
… mining processes. The framework encompasses Self-Organising Maps for data transformation, two prominent clustering-based k-anonymisation algorithms to guarantee a certain degree of privacy, selective privacy and data quality metrics to validate our methods, and classification tasks to study …
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Improving integrated wildfire management in the Fynbos Biome of South Africa using information on synoptic-scale atmospheric features that promote wildfires
… (CFSR) at a 0.5°x0.5° horizontal resolution. The Self Organising Maps (SOMs) technique was used to classify the FDI (anomaly) patterns on the fire days, and the atmospheric dynamics associated with each pattern were studied.
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Computational Intelligence Techniques for Control and Optimization of Wastewater Treatment Plants
… the estimation of WWTP operating states using Self- Organising Maps (SOM) that are used to determine the optimal control parameters for each state. These collectively, provide the basis for achieving comprehensive WWTP optimization. Results show that energy consumption and cleaning capacity can …
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Identification of glucocorticoid-regulated genes and inferring their network focused on the glucocorticoid receptor in childhood leukaemia, based on microarray data and pathway databases
… Four emergent clustering methods are used: Self organising maps (SOM), Emergent self organising maps (ESOM), the Short Time series Expression Miner (STEM) and Fuzzy clustering by Local Approximation of MEmbership (FLAME). These genes are used in the following gene expression analysis step. …
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The impact of global climate change on the runoff and ecological sustainability of the Breede River
… change will have on the change in river flow. Self Organising Maps (SOMs) are used to identify changes in the circulation systems contributing to the rainfall of the region and from this the potential change is assessed for the Breede River flow under future climate change. It is assessed that …
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Application of supervised and unsupervised learning to analysis of the arterial pressure pulse
… by the unsupervised learning technique of Self Organising Maps (SOM). The map patterns indicate that the observed arterial pressures affect the wave shape in a similar way as predicted by the theoretical model. A database of continuous arterial pressure obtained by catheter line during …
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Towards Improved Volcano Monitoring via Automatic Classification of Continuous Tremor
… to predict. An unsupervised classifier based on Self-Organising Maps was trained on tremor data recorded at Whakaari to understand changes in seismicity throughout different phases of volcanic unrest. The prototype classifier distinguishes between quiescent and unrest signals, focussing the …
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An examination of the spatially extensive heavy precipitation events over South Africa and the associated moisture trajectories
… utilises a categorisation technique called Self Organising Maps (SOMs). A number of groups were identified through this process and sample events from this were then further analysed with the use of a kinematic trajectory model. The results indicated that moisture for these events were most …
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Combination of reliability tools and artificial intelligence in a hybrid condition monitoring framework for ship machinery systems
… approaches based on artificial neural networks (Self-Organising Maps, Nonlinear Autoregressive, Multilayer Perceptron). The above assist in identifying critical ship machinery systems and components and subsequently monitoring their condition through the employment of data clustering, time series …
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Using artificial neural networks to forecast changes in national and regional price indices for the UK residential property market
… including changes in the loan to income ratio. Self-organising maps wereused to identify the onset of new market conditions. Neural networks trained with asubset of post-1998 data added to the training set improved their forecastingperformance, suggesting that they were able to incorporate the …
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Exploring emergence in corporate sustainability
… Southern Africa. The results were analysed using self-organising maps and explored in narrative interviews in the subsequent qualitative strand of the research. The study makes three contributions to our understanding of emergence in corporate sustainability. First, by proposing four modes by …
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Organisational practices and individual innovation behaviour: a non-linear approach to modelling the emergence of corporate entrepreneurship
… behaviour. The data is presented to the Self-Organising Maps software, which utilises the principles of Artificial neural networks to cluster it. Phase 2 comprises a qualitative exploration with subject matter experts, of outlying cluster patterns produced by the quantitative results. …
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Assessment of seismic damage to civil structures using statistical pattern recognition techniques and time series analysis
… Quantisation were found to be effective while Self-Organising Maps, an unsupervised classification method, showed promising results. Finally, an online damage detection method was developed based on recursive identification of the AR models using the forgetting factor and Kalman filter …
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The drumlin problem : streamlined subglacial bedforms in southern Sweden
This thesis investigates stream-lined subglacial bedforms (often referred to as drumlins) in southern Sweden. The broad aim of this is to contribute to the solution of the ‘drumlin problem’. The term drumlin has come to be applied to a wide range of features whose internal architecture (core) and …
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Thruster Fault Diagnosis and Accommodation for Overactuated Open-Frame Underwater Vehicles
… using methods based on the integration of self-organising maps and fuzzy logic clustering. The FAS uses information provided by the FDS to perform an appropriate redistribution of thruster demands in order to accommodate faults. The FAS uses a hybrid approach for control allocation, which …
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The use of artificial intelligence techniques for power analysis
… for Electrical Load Forecasting and the use of Self Organising Maps is explored for classifying Power System digital fault records. The background of the optimisation process carried out in this thesis is given and an introduction to the method applied, in particular Evolutionary Programming and …
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Wildfires in the Cape floristic region : exploring vegetation and weather as drivers of fire frequency
… weather condition and fire events by utilising self-organising maps of synoptic states. A temporal change in the frequency of these synoptic states was tested for over the recording period. Synoptic states were used to produce two regional fire risk indicators for the CFR. I found that fire …
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Approaches to quantifying and reducing uncertainty in GCMs over Southern Africa
… but could be replicated for other regions. Using Self-Organising Maps (SOMs), synoptic archetypal patterns are identified and the distribution and frequency of these patterns assessed. The use of synoptic archetypes to quantify model metrics presents a novel approach with many benefits over …
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Multivariate analysis of metabonomic data
… data. Novel aspects of the thesis are the use of Self Organising Maps (SOM) and of Fuzzy Clustering Methods to pattern recognition in metabonomics data. Part I of the thesis defines metabonomics and the other main "omics" technologies, and gives a detailed description of the metabonomics data to …
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