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 6 of 6 for “"self-organising maps (SOM)"”.
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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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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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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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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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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 …