Elevator control apparatus using neural network to predict car direction reversal floor
Patent 5250766 Issued on October 5, 1993. Estimated Expiration Date: 
May 23, 2011. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
May 23, 2011. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.Patent ReferencesSystem for measuring interfloor traffic for group control of elevator cars Elevator supervisory learning control apparatus Group-supervisory apparatus for elevator system Method and apparatus for controlling a group of elevators using fuzzy rules Speech recognition apparatus using neural network and fuzzy logic Fuzzy data comparator with neural network postprocessor Patent #: 5046019 InventorsApplicationNo. 705070 filed on 05/23/1991US Classes:187/391, WITH MONITORING, SIGNALLING, AND INDICATING MEANS187/247, HAVING COMPUTER CONTROL OF ELEVATOR187/380WITH CALL REGISTRATION MEANSExaminersPrimary: Stephan, Steven L.Assistant: Nappi, Robert E. Attorney, Agent or FirmForeign Patent References
International ClassB66B 003/00Foreign Application Priority Data1990-05-24 JPAbstractAn elevator control apparatus capable of predicting reversion floors of elevator cages accurately. The control apparatus comprises a neural network, in which traffic state data are fetched into the neural network, so that predicted values of floors where the moving direction of each cage is reversed are calculated as predicted reversion floors. In the elevator control apparatus, reversion floors near true reversion floors can be predicted flexibly correspondingly to traffic state and traffic volume.Other References
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