@inproceedings{c3ee0b270ef44ced957026ba52017e3b,
title = "A neural network a neural network approach for the design of micromachined accelerometers",
abstract = "The features which govern the development of a closed loop micromachined accelerometer using Neural Networks are presented Two modular Neural Networks have been designed, trained and incorporated into the closed loop transducer structure. a compensating Neural Network (which performs a static mapping) and a feedback Neural Network which has a twofold role. Firstly, it Linearises the feedback relationship between the system's output and the electrostatic forces acting on the electrodes. Secondly, the network demodulates the output signal in order to apply the feedback to only one electrode at a time. Simulation results and the advantages of this approach over the conventional design are shown.",
author = "Elena Gaura and Steele, {N. C.} and Rider, {R. J.}",
year = "1999",
month = jan,
language = "English",
isbn = "9051994737",
series = "Concurrent Systems Engineering Series",
publisher = "IOS Press",
pages = "117--122",
editor = "M Mohammadian",
booktitle = "Computational Intelligence for Modelling, Control and Automation",
address = "Netherlands",
note = "International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 99) ; Conference date: 17-02-1999 Through 19-02-1999",
}