Neural Simulation of a Prototype Keyboard Assembly Cell with Adaptive Control

Neural Simulation of a Prototype Keyboard Assembly Cell with Adaptive Control

This paper describes the integration of a feedforward neural network with a real-time adaptive control technique to model an assembly cell for computer keyboards. The simulation model is able to undertake real-time forecasting of the expected behaviour of the cell, and also able to display in real t...

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Bibliographic Details
Main Authors: LEE, Wee Leong, DE SOUZA, Robert, SPEDDING, Trevor A., LEE, S. S. G.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1996
Subjects:
Neural simulation
keyboards
SIMAN
assembly control
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/9
https://doi.org/10.1007/BF00123914
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/9
https://doi.org/10.1007/BF00123914

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