Inducing process models from spatio-temporal scientific data
Abstract/Contents
- Abstract
- Research on automation of system modeling has focused on the construction of models from measured continuous data. However, the data were generally time series; thus, it has been difficult to induce models from spatio-temporal data. We offer a way to discover models that involve spatial dynamics in the form of partial differential equations. We review an earlier system for inductive process modeling and present our approaches to constructing models from spatio-temporal data. Although the system generally induces reasonable models, the parameter estimation component of the system may not find plausible parameter values for true models since the search space can be very large. In response, we introduce a technique for reducing the ranges of parameters and show the advantage of transferring the revised parameter ranges to other similar modeling tasks. In addition, we develop a method to improve execution time for inducing process models by reducing the size of the search space for model structures. The system takes more computation time for constructing models from spatio-temporal data than time series since execution time increases exponentially with the number of dimensions considered. To tackle this challenge, we integrate a third-level search component, which is based on inductive logic programming, into the modeling system. The component dynamically alters the structural search space to rule out large classes of models unlikely to explain a given data set. We present the details of the method and show how it benefits computation time.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2013 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Park, Chunki |
|---|---|
| Associated with | Stanford University, Department of Aeronautics and Astronautics. |
| Primary advisor | Arrigo, Kevin R |
| Primary advisor | Langley, Pat |
| Thesis advisor | Arrigo, Kevin R |
| Thesis advisor | Langley, Pat |
| Thesis advisor | Rock, Stephen M |
| Advisor | Rock, Stephen M |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Chunki Park. |
|---|---|
| Note | Submitted to the Department of Aeronautics and Astronautics. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2013. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2013 by Chunki Park
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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