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 12 of 12 for “"adaptive resonance theory"”.
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Genetically Engineered Adaptive Resonance Theory (art) Neural Network Architectures
Fuzzy ARTMAP (FAM) is currently considered to be one of the premier neural network architectures in solving classification problems. One of the limitations of Fuzzy ARTMAP that has been extensively reported in the literature is the category proliferation problem. That is Fuzzy ARTMAP has the …
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Monitoring and anomaly detection in solar thermal systems using adaptive resonance theory neural networks
… commonly needed for ordinary system control. Adaptive Resonance Theory (ART)-based neural networks are chosen to perform this task, because the ART-based neural networks are fast, efficient learners and retain memory while learning new patterns. In particular, the ART networks can be …
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Fault detection and diagnostics of an HVAC sub-system using adaptive resonance theory neural networks
… support vector machine (SVM), back-propagation, adaptive resonance theory (ART), and lateral priming adaptive resonance theory (LAPART). The diagnosis of AHU faults were performed using a multi-class SVM and LAPART algorithms. The results from the fault detection experiments were reviewed based …
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SimNet: a neural network architecture for pattern recognition and data mining
… data clustering system that works similar to Adaptive Resonance Theory and Self-Organizing Maps."--Introduction, page 1.
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Optimization Of Network Parameters And Semi-supervision In Gaussian Art Architectures
… thesis we extensively experiment with two ART (adaptive resonance theory) architectures called Gaussian ARTMAP (GAM) and Distributed Gaussian ARTMAP (dGAM). Both of these classifiers have been successfully used in the past on a variety of applications. One of our contributions in this thesis is …
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A Model Of Visual Recognition Implemented Using Neural Networks
… a feature vector that is categorised using an Adaptive Resonance Theory network capable of recognising arbitrary analog patterns. The implementation has been applied to the task of recognising static images of human faces. Experimental results show that the implementation is able to achieve a …
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Electrocardiogram signal processing and classification using neural network computing
… for any types of record is achieved by the Adaptive Resonance Theory (ART) Network, by which thousands of QRS complexes (the main part of the ECU) are classified into less than sixty-six categories, these classification results can be treated as a simplification of the original record. All …
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Cutting tool condition monitoring of the turning process using artificial intelligence
… and proved to be slightly more reliable then the Adaptive Resonance Theory neural network.
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Neuroengineering of Clustering Algorithms
… first paper provides a comprehensive review on adaptive resonance theory (ART) models for engineering applications and provides context for the four subsequent papers. These papers are devoted to enhancements of ART-based clustering algorithms from (a) a practical perspective by exploiting the …
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A web-based intelligent learning environment for the teaching of industrial continuous quality improvement
… students identify the fundamental link between theory and realistic systems, as well as providing educators with an effective technique for teaching continuous quality improvement. A prototype system for the web-based learning environment is described, demonstrating the implementation of the …
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Mechanisms of hippocampal relational memory binding
… empirical research, and scholarly theory building. The critical components are 1) a model and discussion of memory consolidation, 2) reconstructive memory experiments, both in patients with damage to the hippocampus and in college-aged participants, 3) a pair of computational models …