Bayesian neural networks for optimization and control
US6725208B1 · kind B1 · utility
116Cited by
24References
80Claims
0Family size
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Key dates
| Filing date | Apr 12, 1999 |
| Grant date | Apr 20, 2004 |
| Priority date | — |
| Expiry date | Apr 12, 2019 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S706/914
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
An optimization system is provided utilizing a Bayesian neural network calculation of a derivative wherein an output is optimized with respect to an input utilizing a stochastical method that averages over many regression models. This is done such that constraints from first principal models are incorporated in terms of prior art distributions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.