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A neural network based on an inexpensive eight-bit microcontroller

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Abstract

In this paper, a neural network is trained and validated using a low end and inexpensive microcontroller. The well-known backpropagation algorithm is implemented to train a neural network model. Both the training and the validation parts are shown through an alphanumeric liquid crystal display. A chemical process was chosen as a realistic nonlinear system to demonstrate the feasibility, and the performance of the results found using the microcontroller. A comparison was made between the microcontroller and the computer results.

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Authors and Affiliations

  1. Department of Physics, Faculty of Sciences, University M’hamed Bougara, Boumerdès, Algeria

    L. Saad Saoud

  2. Department of Electronic, Faculty of Engineering, University Ferhat Abbas, Setif, Algeria

    A. Khellaf

Authors
  1. L. Saad Saoud
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  2. A. Khellaf
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Correspondence to L. Saad Saoud.

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Saad Saoud, L., Khellaf, A. A neural network based on an inexpensive eight-bit microcontroller. Neural Comput & Applic 20, 329–334 (2011). https://doi.org/10.1007/s00521-010-0377-5

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  • DOI: https://doi.org/10.1007/s00521-010-0377-5

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