Method for continuously adjusting the architecture of a neural network used in elevator dispatching
US5904227A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 1997 |
| Grant date | May 18, 1999 |
| Priority date | — |
| Expiry date | Dec 30, 2017 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB66B2201/211
- WIPO fieldHandling
- WIPO sectorMechanical engineering
Abstract
A method for adapting to observed special use patterns a neural network used to estimate quantities needed by an elevator dispatching system responsible for assigning the elevator or another elevator to a hall call. Rather than simply refining values of existing connection weights to train the neural network to provide acceptable outputs for predetermined inputs, the method analyzes use information to determine whether additional inputs to the neural network might be advantageous and what those inputs might be. If so, the method alters the neural network architecture by providing new input nodes and corresponding connection weights, the connection weights having initially relatively small values. All connection weights can then be adjusted during actual operation of the elevator to accommodate the new input nodes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.