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 54 for “"Learning Mechanism"”.
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The contribution of mentorship as an entrepreneurial learning mechanism for South African entrepreneurs
Existing research in the field of mentorship as a mechanism for entrepreneurial learning suggests a requirement for more studies. Previous empirical research in the field has predominantly focussed on the workplace context and not the entrepreneur. The current research available in the field of …
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A Comparative Case Study of Organizational Learning in the Wildland Fire Community
… has sought to improve its organizational learning practice. The organization has developed several structures and processes to assist with this goal. Unfortunately, there are indications the efforts are not providing the hoped-for results. The purpose of this study was to examine the …
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A gradient optimization approach to adaptive multi-robot control
… are then augmented with a stable on-line learning mechanism to adapt to unknown features in the environment. In a sensor coverage application, this allows robots to learn where in the environment they are most needed, and to aggregate in those areas. The learning mechanism uses …
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Second-Language Speech Learning: An Investigation of Auditory Word Priming
… word priming is both an implicit and crucial learning mechanism involved in the processing and learning of L2 speech. These findings also indicated that the extent of this involvement depends upon the nature of spoken L2 input and the processing demands imposed on the learner by a learning …
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Applications of fuzzy counterpropagation neural networks to non-linear function approximation and background noise elimination
… in an unknown environment by performing a learning mechanism that is suitable for the speech enhancement process. This research develops a novel ANN model which incorporates the fuzzy set approach and which can perform a non-linear function approximation. The model is used as the basic …
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The evolution of 'Boxes' to quantized inductive learning: a study in inductive learning
An inductive learning method is analyzed for use in on-line control. The controller has the benefit of being designed without a system model and is able to adapt itself to varying system parameters. Numerical experiments were performed with the Quantized Inductive Learning (QIL) algorithm, an …
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Unsupervised anomaly detection in multi-class datasets using Generative Adversarial Networks
… where each generator is responsible for learning a unique manifold of data. Second, a machine learning mechanism called a ''bandit"" is implemented to find the optimal set of generators required to cover all data manifolds through unsupervised prior-learning. Finally, the multi-generator …
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Solar capabilities : promoting, technological learning in South Africa's photovoltaic supply industry
I explore the mechanisms through which technological capabilities have been built in the market for photovoltaic (PV) module and balance of system (BOS) manufacture in South Africa. Drawing on the literature on technology transfer and economic development, my aim is to identify the relative …
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A Purkinje cell Timing Mechanism. On the Physical Basis of a Temporal Duration Memory.
… its target cell by exciting or inhibiting it. Learning is thought to involve strengthening or weakening synaptic connections. For most behaviors, the brain must learn to produce precisely timed activity patterns. Learned response timing is indispensable for a wide range of tasks and requires …
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Executive Attention, Action Selection and Attention-Based Learning in Neurally Controlled Autonomous Agents
… of attention. Recognising that attention-based learning, mediated by the limbic system, and the hippocampus in particular, plays an important role in adaptive learning, I extend the Norman and Shallice model, introducing an intrinsic, attention-based learning mechanism that enhances the …
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A Multi-Agent Design for Power Distribution Systems Automation
… for the 0-1 Knapsack problem.;A novel Q-learning mechanism is also introduced to support the FAs in decision making for restoration. Also a distributed MAS-Based Load Shedding (LS) technique has been used to supply as many of higher priority customers as possible, in case there is more …
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Solver Tuning with Genetic Algorithms
… modelling approach. The efficient and automatic mechanism of parameters tuning for a constraint solver is a step towards making constraint programming a more widely accessible technology. Two types of tuning algorithms are discussed in this thesis: single instance tuning algorithms and …
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Methodologies and Tools for the Emergence of Cooperation in Biorobotics.
… architectures, applying them in a reward-based learning mechanism leading to the emergence of cooperation capabilities and perform tasks where one robot alone cannot succeed. The selected technique to induce the emergence of cooperation was based on a selection of specific sub-set among the …
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THE DESIGN AND IMPLEMENTATION OF AN ADAPTIVE CHESS GAME
… continued interest in playing. A proper adaptive learning mechanism is required to further this human player’s motivation. During this project, past achievements of adaptive learning on computer chess game play are reviewed and adaptive learning mechanisms in computer chess game play is proposed. …
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Fuzzy Model Reference Learning Control for Smart Lights
… for complex failures, a fuzzy model reference learning controller (i.e., adaptive fuzzy) is developed for the experimental testbed, and this algorithm proves to be able to adapt to uncertainties such as disturbances and failures via a learning mechanism.
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Rule -Based Evolutionary Online Learning Systems: Learning Bounds, Classification, and Prediction
Rule-based evolutionary online learning systems, often referred to as Michigan-style learning classifier systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the …
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Social media enhanced boundary crossing: exploring distance students' ecosystems of learning support
As the demand for distance learning increases, traditional campus-based universities continue to struggle in supporting working distance students. This has resulted in the increased phenomena of students using social media within their ecosystems of learning support. The use of formal and informal …
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Learnability, representation, and language : a Bayesian approach
… thesis is to exploit recent advances in machine learning to revisit three common learnability arguments in language acquisition. By formalizing them in Bayesian terms and evaluating them given realistic, real-world datasets, we achieve insight about what must be assumed about a child's …
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On the Stability and Robustness of Discrete Uncertain Systems
… to exist under certain conditions. The learning mechanism of MRAC allows gains or uncertain parameters to be estimated online to ensure that the reference tracking objective is achieved. As with any control architecture, MRAC is theoretically sound. However, these theoretical guarantees …
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