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 24 for “"Self-Organising Map"”.
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Seasonality of circulation in southern Africa using the Kohonen self-organising map
… the classification capabilities of the Kohonen self-organising map (SOM) is introduced into the body of computer-based techniques available to synoptic climatology. The SOM is one of many types of artificial neural networks (ANN) and is capable of unsupervised learning or non-linear …
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The use of artificial intelligence techniques to assist in the valuation of residential properties
… first, using a technique known as the Kohonen Self Organising Map, makes an assumption that residential properties that share sufficient characteristics can be appraised using the same function The Kohonen Self Organising Map is used to cluster properties with respect to their property …
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Real time detection of malicious webpages using machine learning techniques
… Decision Tree. The unsupervised techniques are Self-Organising Map, Affinity Propagation and K-Means. Self-Organising Map was used instead of Neural Networks and the research suggests that the new version of Neural Network i.e. Deep Learning would be great for this research. The supervised …
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Development of an advanced deep learning and neural network method for automatic early detection of mastitis in dairy cattle : A thesis submitted in partial fulfilment of the requirements for the Degree of Doctor of Philosophy at Lincoln University
… data from a robotic milking system. Initially, Self-Organising Map (SOM) was employed to capture the mastitis spectrum. Then, Fuzzy C-Means (FCM) clustering was applied to the SOM map, identifying five health states—healthy, early subclinical, subclinical, late subclinical and clinical—despite …
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Sparse separation of sources in 3D soundscapes
… using a geodesic grid, the second by adapting a self learning plastic self-organising map to operate on the surface of a unit sphere. It is concluded that the separation algorithm presented is effective for soundscapes comprising ecological or zoological sources. Specific areas for further work …
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A Computer Vision and Generative AI Framework for Trend Extraction and Brand-Aligned Fashion Design
… the trend identification module, which uses a self-organising map to identify trends. The trends, a secondary fabric dataset, and a sales catalogue of a targeted brand are processed in the generative design module. This module uses a novel mask-style blending framework to generate the designs. …
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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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Neural Network Techniques for the Identification and Classification Marine Phytoplankton from Flow Cytometric Data
… need for complete re-training.<br/><br/>Kohonens Self Organising Map (SOM), capable of discovering its own classification scheme, indicated areas of discrepancy between flow cytometric signatures of some species and their respective morphological groupings. In an attempt to improve identification …
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Bayesian singular spectrum analysis with state dependent models
… series concludes that a novel variant of the self organising map leads to a signi cant improvement over methods based on standard techniques like tensor analysis and joint diagonalisation.
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The diurnal cycle of cloud cover over southern and central Africa
… regionally specific variability is made using a Self-Organising Map. The findings of this study are in broad agreement with previous work. Cloud over the southern and central African region shows clear spatial organisation, most significantly associated with the location of the Intertropical …
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Hardware Agnostic Condition Monitoring for Steel Manufacturing: A Machine Learning Approach
… dimensionality into a smaller set of features. A Self-Organising Map then fits a two dimensional plane to the feature-set, where the images can be separated into clusters. The proposed case studies show promising results and are able to discriminate between varying operating conditions. The …
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The role of soil moisture on summer climate simulations over southern Africa
… responds to perturbations in soil moisture using self-organising map technique. To investigate these underlying processes of atmosphere-soil moisture interactions a series of RegCM3 model experiments utilizing wet, dry and normal soil moisture conditions were designed. The experiments are based on …
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An exploration of South Africa's wind climate using station records and reanalysis data
… the regionalisation. The regionalisation uses a self-organising map (SOM) to define the archetypal synoptic circulation patterns in the reanalysis data set and the influence of these on the local wind climate is quantified. 12 representative atmospheric states are defined by the SOM that are …
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Using Text Mining to Identify Crime Patterns from Arabic Crime News Report Corpus
… to discover the local grammar. Moreover, the Self Organising Map (SOM) approach is adopted in order to perform the clustering and visualisation tasks for crime documents based on crime type, location or nationality. This clustering technique is improved because only refined data containing …
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Application of Joint Time-Frequency Methods and Artificial Neural Networks for Monitoring Co-Firing Burners
… method and subsequently classified using a Self-organising Map (SOM). It was found that it was possible to relate the classification of the sensor data to operational parameters such as the burner airflow rate, CO and NOx emissions. Then using a simple rule based approach the developed …
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Acoustic data optimisation for seabed mapping with visual and computational data mining
… examine the complexity of the de facto seabed mapping technique by exploring and analysing acoustic data with a combination of data mining and visual analytic methods. First we test the redundancy issues in multibeam echosounder (MBES) data by using the component plane visualisation of a Self …
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The vibro-acoustic modelling and analysis of damage mechanisms in paper
… into a set of features for the training of a Self-Organising Map (SOM). The significant step in this analysis is the method for the extraction of the features from the CWT of the AE. This work successfully combines four different scientific areas, paper physics, acoustic emission technology, …
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Wind-stress variability over the Benguela upwelling system
… artificial neural network, known as the Kohonen Self Organising Map (SOM), as well as a wavelet analysis. Two independent SOM studies are conducted. The first study produced a 6x4 SOM output array, which is used to examine seasonal variability as well as the temporal evolution of two …
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Monitoring and control of biological textile wastewater treatment using artificial neural networks
… (BP), radial basis function (RBF), Elman, and self-organising map (SOM). The following criteria were used to select the best performing ANN: (i) accuracy of the network predictions; (ii) time required for the necessary training; (iii) the size of the training data. The off-line predictions made …
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