Process optimization using a neural network
US5671335A · kind A · utility
89Cited by
6References
6Claims
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Key dates
| Filing date | Jan 3, 1994 |
| Grant date | Sep 23, 1997 |
| Priority date | — |
| Expiry date | Jan 3, 2014 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B13/027
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
An input to a complex multi-input process, such as injection molding, is optimized to produce a target output from that process through the use of a neural network trained to that process. A trial input is forward-propagated through the neural network and the output of the network compared to the target output. The difference is back-propagated through the network to determine an input error value in the network. This error value is used to correct the trial input. This correction process is repeated until the trial input produces the target output to within a predetermined degree of accuracy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.