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 58 for “"self-organizing maps"”.
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Cross-domain self organizing maps
In this thesis, I present a method for organizing and relating events represented in two domains: the transition-space domain, which focuses on change and the trajectory-space domain, which focuses on movement along paths. Particular events are described in both domains, and each description is fed …
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Disambiguating words with self-organizing maps
… patterns by manipulating an accelerated Self-Organizing Map to save these example contexts and then references them to perform further context based disambiguation within the language. Through this process and after training on 125 examples, CLARIFY can now decipher that shrimp in the …
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Integration of heterogeneous data types using self organizing maps
… and numerical data. We propose to utilize self-organizing maps (SOM) to aid the visual exploration of the large data volumes. The unsupervised classification property of SOM facilitates the integration of completely unfamiliar relational database tables and attributes based on the contents. …
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Using Self-Organizing Maps for Computer Network Intrusion Detection
… others. For our study, we implemented our own self¬ organizing map (SOM), which we found to not be as heavily researched as other neural network approaches. Using the KDD Cup 99 dataset, we compared our own SOM implementation against other neural network implementations and determine the …
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Spam Review Detection Using Self-Organizing Maps and Convolutional Neural Networks
… linguistic features. Unsupervised learning via self-organizing maps (SOM) in conjunction with a convolutional neural networks (CNN) are employed to perform classification of the reviews. We transform the reviews into images by arranging semantically-similar words around a pixel of the image or …
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Map-Building and Position Estimation in Mobile Robots Using Self-Organizing Maps
… research aims at identifying the possibility of self-organizing systems to build an internal representation of the input space, able to handle the case of an unknown environment, and moreover, examine the causes, consequences and solutions to the conflicting problem of catastrophic forgetting …
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Arctic synoptic activity associated with sea ice variability using self-organizing maps
… ice variability in the Arctic are studied using self-organizing maps (SOMs) to categorize observed weather patterns over the 1979-2010 period. The European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-interim, or ERAI) provides the daily sea level pressures from which the …
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Using self-organizing maps to understand the effects of synoptic configurations on Western North Pacific tropical cyclones
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01
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Using emergent self-organizing maps to identify marine group II archaea genomic fragments from uncharacterized microbial metagenomic sequences
… II tetranucleotide signatures using emergent self-organizing maps was investigated. Fosmids from the HF200 library were chosen for sequencing based on end-sequence tetranucleotide clustering with group II seed sequences, as well as blastx homology. Fosmids were sequenced using a single 454- …
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Using Self-Organizing Maps to Calculate Chilling Hours as an Indicator of Temperature Shifts During Winter in the Southeastern United States
… spring emergence. This project involves training self-organizing maps (SOMs) to identify periods of anomalous winter warming based on a reduced number of chill hours within a 5-day temporal period compared to the period's climatological average. A second SOM is nested in the node that produced the …
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Studying dialects to understand human language
… dialects using k-means clustering is done. Self-organizing maps are proposed as a tool for dialect research, and a self-organizing map is implemented for the purposes of testing this. Several areas for further research are identified, including how dialects are stored in the brain, more …
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SimNet: a neural network architecture for pattern recognition and data mining
… works similar to Adaptive Resonance Theory and Self-Organizing Maps."--Introduction, page 1.
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The Regional Economic Effects of Commercial Passenger Air Service at Small Airports
… airport policies and regional economies. I use Self-Organizing Maps, an artificial neural network, to explore data and assess the feasibility of using matched control groups to balance variables across treatment and control groups. I modify Genetic Matching methods to create control groups …
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Application of Pattern Recognition Techniques to Monitoring-While-Drilling on a Rotary Electric Blasthole Drill at an Open-Pit Coal Mine
… are used for the supervised learning, while self-organizing maps are used for unsupervised learning. A variety of combinations of drilling data and geophysical data are investigated as inputs to the classifiers. The outputs from these classifiers are evaluated relative to the rock …
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Development of mass spectrometry based technologies for quantitative cell signaling phosphoproteomics : the epidermal growth factor receptor family as a model system
… epidermal growth factor receptor (EGFR) family. Self organizing maps (SOMs) analysis of our data has highlighted potential biological functions for phosphorylation sites previously unrelated to EGFR signaling and identified network modules regulated by different combinations of EGFR family …
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Optimizing parameters in fuzzy k-means for clustering microarray data.
… algorithms, such as hierarchical clustering, self-organizing maps, k-means clustering and fuzzy k-means clustering, have become important tools for expression analysis of microarray data. However, the need of prior knowledge of the number of clusters, k, and the fuzziness parameter, b, limits …
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