Sökning: "Genetic Evolutionary Algorithms"
Visar resultat 1 - 5 av 33 avhandlingar innehållade orden Genetic Evolutionary Algorithms.
1. Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning
Sammanfattning : Deep Learning (DL) has achieved remarkable results in both academic and industrial fields over the last few years. However, DL models are often hard to design and require proper selection of features and tuning of hyper-parameters to achieve high performance. These selections are tedious for human experts and require substantial time and resources. LÄS MER
2. Exploring Massively Parallel Models and Architectures for Efficient Computation of Evolutionary Algorithms
Sammanfattning : 'Evolutionary algorithms' is the collective name for a group of relatively new stochastic search algorithms that have several unique and interesting properties. However, as with all search algorithms, evolutionary algorithms also have disadvantages. LÄS MER
3. Exploring massively parallel models and architectures for efficient computation of evolutionary algorithms
Sammanfattning : .... LÄS MER
4. Evolutionary Humanoids for Embodied Artificial Intelligence
Sammanfattning : The work presented in this thesis aims at investigating the potential of a proposed methodology to create a cognitive control architecture for a humanoid robot. This architecture comprises three hierarchical layers: the reactive layer, the model building layer, and the reasoning layer. LÄS MER
5. Obtaining Accurate and Comprehensible Data Mining Models : An Evolutionary Approach
Sammanfattning : When performing predictive data mining, the use of ensembles is claimed to virtually guarantee increased accuracy compared to the use of single models. Unfortunately, the problem of how to maximize ensemble accuracy is far from solved. LÄS MER