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- W2184703212 abstract "Alistract - In this paper, the works technique in modern e control systems is discussed. The sign ducing neural networks technique is presented. From the angle of turning the status of elevator running specialty, elevator equipment and building specialty into training data of elevator group supervisory control systems with neural networks, artificial neural networks and fuzzy neural networks are described . Practical application shows that the elevator group supervisory control systems with neural networks can avoid bunching phenomena effectively. Compared with the elevator group supervisory control systems with fuzzy rules, the elevator group supervisory control systems with neural networks have more superiority. cation of neural netor group supervisory visory conrtol systems of using artificial intelligence (AI) technique , such as fuzzy rules, the elevator group supervisory control systems with neural networks have following advantages. 1 ) They can distinguish the traffic flow," @default.
- W2184703212 created "2016-06-24" @default.
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- W2184703212 date "1997-01-01" @default.
- W2184703212 modified "2023-09-24" @default.
- W2184703212 title "Modern Elevator Group Supervisory Control Neural Networks Technique" @default.
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