Ensembles of neural networks with different input sets
US7613665B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 24, 2005 |
| Grant date | Nov 3, 2009 |
| Priority date | — |
| Expiry date | Jul 26, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods of creating and using robust neural network ensembles are disclosed. Some embodiments take the form of computer-based methods that comprise receiving a set of available inputs; receiving training data; training at least one neural network for each of at least two different subsets of the set of available inputs; and providing at least two trained neural networks having different subsets of the available inputs as components of a neural network ensemble configured to transform the available inputs into at least one output. The neural network ensemble may be applied as a log synthesis method that comprises: receiving a set of downhole logs; applying a first subset of downhole logs to a first neural network to obtain an estimated log; applying a second, different subset of the downhole logs to a second neural network to obtain an estimated log; and combining the estimated logs to obtain a synthetic log.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.