Supporting neural network method for process operation
US5774633A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Dec 23, 1991 |
| Grant date | Jun 30, 1998 |
| Priority date | — |
| Expiry date | Dec 23, 2011 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S706/906
- WIPO fieldEnvironmental technology
- WIPO sectorChemistry
Abstract
A method and a system for causing a neural circuit model to learn typical past control results of a process and using the neural circuit model for supporting an operation of the process. The neural circuit model is caused to learn by using, as input signals, a typical pattern of values of input variables at different points in time and, as a teacher signal, its corresponding values of the control variable. An unlearned pattern of input variables is inputted to the thus-learned neuron circuit model, whereby a corresponding value of the control variable is determined. Preferably, plural patterns at given time intervals can be simultaneously used as patterns to be learned.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.