Custom architectures for fuzzy and neural networks controllers

Authors

  • Nelson Acosta INCA/INTIA – Departamento de Computación y Sistemas, UNCPBA, Tandil, Argentina
  • Marcelo Alejandro Tosini INCA/INTIA – Departamento de Computación y Sistemas, UNCPBA, Tandil, Argentin

Keywords:

computer aided control system design, fuzzy & neural networks control, integrated circuit

Abstract

Standard hardware, dedicated microcontroller or application specific circuits can implement fuzzy logic or neural network controllers. This paper presents efficient architecture approaches to develop controllers using specific circuits. A generator uses several tools that allow translating the initial problem specification to a specific circuit implementation, by using HDL descriptions. These HDL description files can be synthesized to get the FPGA configuration bit-stream.

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References

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Published

2002-10-01

How to Cite

Acosta, N., & Tosini, M. A. (2002). Custom architectures for fuzzy and neural networks controllers. Journal of Computer Science and Technology, 2(01), p. 9–15. Retrieved from https://journal.info.unlp.edu.ar/JCST/article/view/956

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Original Articles