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Hardware implementation of a new artificial neuron.
Labib, Richard; Audette, Francis; Fortin, Alexandre; Assadi, Reza.
Affiliation
  • Labib R; Département de mathématiques et génie industriel, Ecole Polytechnique de Montréal, Canada. richard.labib@polymtl.ca
Int J Neural Syst ; 15(6): 427-33, 2005 Dec.
Article in En | MEDLINE | ID: mdl-16385632
This paper describes an FPGA (Field Programmable Gate Arrays) implementation of a new type of neuron, the Quantron. The goal is to demonstrate the capability of current technology to closely recreate the human body's reaction to a change of temperature. This is accomplished by creating a function that adds a number of kernels at different frequencies depending on the external temperature. Once the sum of the kernels reaches a certain threshold, the artificial neural network, equivalent to its biological counterpart, "reacts" by sending a specific output signal designed to trigger a response. The various elements of each subsystem are discussed and implemented in software and hardware. The results are analyzed in terms of accuracy and efficiency compared to the biological equivalent.
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Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Models, Neurological / Neurons Limits: Humans Language: En Journal: Int J Neural Syst Year: 2005 Document type: Article
Search on Google
Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Models, Neurological / Neurons Limits: Humans Language: En Journal: Int J Neural Syst Year: 2005 Document type: Article