Abstract
In the recent years, the number of ASIC designs which include a fuzzy or neural controllers inside, has increased. The basic structure of these controllers is usually repeated; therefore, it seems reasonable to create a tool to automate the development of these controllers. This paper presents a software tool called AFAN, designed to generate fuzzy and neural controllers. AFAN accounts for resolution, speed and area consumption in order to select the architecture of the controller that best accommodates to a set of user specifications. The result is a file containing a VHDL code of a directly synthesizable fuzzy or neural controller. A set of examples is provided in order to show the solutions produced by AFAN with different specifications.
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© 1997 Springer-Verlag Berlin Heidelberg
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Carvajal, R.G., Torralba, A., Colodro, F., Franquelo, L.G. (1997). AFAN, a tool for the automatic design of fuzzy and neural controllers. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032542
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DOI: https://doi.org/10.1007/BFb0032542
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