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Custom architectures for fuzzy and neural networks controllers.
From:
Journal of Computer Science & Technology
| Date:
October 1, 2002| Author:
Nelson, Acosta; Marcelo, Tosini
| COPYRIGHT 2002 Graduate Network of Argentine Universities with Computer Science Schools (RedUNCI). This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan. All inquiries regarding rights should be directed to the Gale Group.Copyright information
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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-strea...
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