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Full-Text Articles in Engineering
Particle Swarm Optimization For Critical Experiment Design, Cole Michael Kostelac
Particle Swarm Optimization For Critical Experiment Design, Cole Michael Kostelac
Masters Theses
“Critical experiments are used by nuclear data evaluators and criticality safety engineers to validate nuclear data and computational methods. Many of these experiments are designed to maximize the sensitivity to a certain nuclide-reaction pair in an energy range of interest. Traditionally, a parameter sweep is conducted over a set of experimental variables to find a configuration that is critical and maximally sensitive. As additional variables are added, the total number of configurations increases exponentially and quickly becomes prohibitively computationally expensive to calculate, especially using Monte Carlo methods.
This work presents the development of a particle swarm optimization algorithm to design …
Computational Model For Neural Architecture Search, Ram Deepak Gottapu
Computational Model For Neural Architecture Search, Ram Deepak Gottapu
Doctoral Dissertations
"A long-standing goal in Deep Learning (DL) research is to design efficient architectures for a given dataset that are both accurate and computationally inexpensive. At present, designing deep learning architectures for a real-world application requires both human expertise and considerable effort as they are either handcrafted by careful experimentation or modified from a handful of existing models. This method is inefficient as the process of architecture design is highly time-consuming and computationally expensive.
The research presents an approach to automate the process of deep learning architecture design through a modeling procedure. In particular, it first introduces a framework that treats …