Compensation of Nonlinearities Using Neural Networks Implemented on Inexpensive Microcontrollers

@article{Cotton2011CompensationON,
  title={Compensation of Nonlinearities Using Neural Networks Implemented on Inexpensive Microcontrollers},
  author={Nicholas J. Cotton and Bogdan M. Wilamowski},
  journal={IEEE Transactions on Industrial Electronics},
  year={2011},
  volume={58},
  pages={733-740}
}
This paper describes a method of linearizing the nonlinear characteristics of many sensors and devices using an embedded neural network. The neuron-by-neuron process was developed in assembly language to allow the fastest and shortest code on the embedded system. The embedded neural network also requires an accurate approximation for hyperbolic tangent to… CONTINUE READING

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