Method for continuous learning by a neural network used in an elevator dispatching system
US5923004A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 1997 |
| Grant date | Jul 13, 1999 |
| Priority date | — |
| Expiry date | Dec 30, 2017 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB66B2201/222
- WIPO fieldHandling
- WIPO sectorMechanical engineering
Abstract
A method for training a neural network used to estimate for an elevator the remaining response time for the elevator to service a hall call. The training, which results in adjusting connection weights between nodes of the neural network, is performed while the elevator is in actual operation. The method is not restricted to any particular architecture of neural network. The method uses a cutoff to limit changes to the connection weights, and provides for scaling the different inputs to the neural network so that all inputs lie in a predetermined range. The method also provides for training in case the elevator is diverted from servicing the hall call by an intervening hall call.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.