Paper:
A Novel Intelligent Environment Dedicated to ANN Fast Prototyping
SIMÕES,
E.V., JUSTO, G.F., BARONE, D.A.C.
IEEE International Conference on Systems, Man and Cybernetics, Vancouver, British Columbia, Canada, Oct., 1995. pp. 863-867.
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Abstract:
This work presents a fast prototyping system for Boolean neural network design within
a proper FPGA matrix, named FLECHA. In such context, considering just the GSN Boolean model,
this system enables the designer to define the structure of the neural
network and the pattern to be learned. It also performs the simulation of the ANN, helping
to choose a particular architecture and deliver a VHDL description, which is taken as input
to a FPGA prototyping tool. This object-oriented software tool was developed according neural
networks and genetic algorithms techniques. It allows the user to implement the
desired ANN with the FLECHA matrix, to verify and edit it, and to generate the matrix
configuration pattern.
This article contains a brief description of how the proposed ANN design system
works, as well as a brief presentation of the employed methodology in the implementation of
neural networks, and finally, the results obtained from the prototyping of some GSN neural
network circuits within the FLECHA matrix.
Eduardo do Valle Simões,
simoes@icmc.usp.br
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