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Analysis of Evolutionary Optimization Algorithms in Automated Test Pattern Generation for Sequential Circuits
DownloadSpring 2017
In automated test pattern generation (ATPG), test patterns are automatically generated and tested against all specific modeled faults, such as stuck-at fault, which is most commonly used in fault modeling. Testing of sequential circuits can be performed exhaustively, randomly or algorithmically....
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Fall 2013
An important contribution of the Semantic Web is a new format of data representation called Resource Description Framework (RDF). In RDF every piece of information is represented by a triple: <subject-property-object>. RDFs are densely interlinked between each other and are becoming very popular...
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Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications
DownloadSpring 2011
The focus of this study is the development and evaluation of a new partially supervised learning framework. This framework belongs to an emerging field in machine learning that augments unsupervised learning processes with some elements of supervision. It is based on proximity fuzzy clustering,...
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Spring 2013
There are two main activities in a face recognition practice: representation and classification. The main focus of this work is an analysis of image representation methods leading to better image classification scores. This study applies different feature descriptors and image segmentation...
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Fall 2022
Fuzzy models, especially fuzzy rule-based models, have received substantial attention as an important pursuit in the design and analysis of intelligent systems. In rule-based architectures, functional (Takagi-Sugeno) fuzzy rule-based models have been studied intensively resulting in a wealth of...
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Fall 2010
Fuzzy Cognitive Maps (FCMs) are a widely used, neuro-fuzzy based qualitative approach for the modeling of dynamic systems, which allow for both static and dynamic analyses. They are capable of modeling complex systems with nonlinearities and unknown physical behaviour. FCMs describe a given...
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Logic-Oriented Fuzzy Neural Networks: Optimization and Applications of Interpretable Models of Machine Learning
DownloadFall 2023
With the rapid development of machine learning models along with increasingly complex data structures, it becomes difficult to ground the reliability of models’ predictions despite the substantial progress in favor of high approximation properties. The lack of interpretability remains a key...
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Fall 2015
The concept of Semantic Web, introduced by Berners-Lee in 2001, emphasizes importance of expressing semantics of data stored on the web. The introduced data format called Resource Description Framework (RDF) is a meaningful way of expressing and exploring data relations. It provides basics for...
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Fall 2014
In this thesis, we propose a design process to construct granular neural networks with granular inputs and numeric network parameters. The proposed granular network is formed on the basis of a numeric neural network whose inputs are augmented using probabilistic information granules. The design...
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Fall 2022
Rule-based models have enjoyed a great deal of interest in the previous decades as one of the development paradigms of intelligent systems. They are regarded as a fundamental vehicle of knowledge representation, serving as a computational platform supporting an array of design practices and...