Ontology highlight
ABSTRACT:
SUBMITTER: Schaeffer H
PROVIDER: S-EPMC5312119 | biostudies-literature | 2017 Jan
REPOSITORIES: biostudies-literature
Proceedings. Mathematical, physical, and engineering sciences 20170101 2197
We investigate the problem of learning an evolution equation directly from some given data. This work develops a learning algorithm to identify the terms in the underlying partial differential equations and to approximate the coefficients of the terms only using data. The algorithm uses sparse optimization in order to perform feature selection and parameter estimation. The features are data driven in the sense that they are constructed using nonlinear algebraic equations on the spatial derivativ ...[more]