FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms

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

doi:10.1007/978-3-319-19222-2_17

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FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms

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

Year: 2015 Lecture notes in computer science Pages: 197-208 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-19222-2_17

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Keywords:

Computer science Field-programmable gate array Artificial neural network Benchmark (surveying) Backpropagation Context (archaeology) Algorithm Computation Computer architecture Artificial intelligence Embedded system

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Analog and Mixed-Signal Circuit Design

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CCD and CMOS Imaging Sensors

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FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms

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