FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm

Francisco Ortega-Zamorano; José M. Jerez; Gustavo Juárez; Leonardo Franco

doi:10.1007/s11063-017-9655-x

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FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm

Francisco Ortega-Zamorano José M. Jerez Gustavo Juárez Leonardo Franco

Year: 2017 Journal: Neural Processing Letters Vol: 46 (3)Pages: 899-914 Publisher: Springer Science+Business Media

DOI: 10.1007/s11063-017-9655-x

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Keywords:

Constructive Computational intelligence Field-programmable gate array Computer science Algorithm Artificial intelligence Embedded system Programming language Process (computing)

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm

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