Abstract
In this work, a hardware implementation of differential evolution algorithm (DEA) on field-programmable gate array (FPGA) is realized. The implementation of DEA on FPGA is carried out to find minimum value of an equation with two unknowns. This study is a preparatory work for the training of neural networks with DEA on FPGA which is more complicated.
Keywords
Field-programmable gate array
Realization (probability)
Computer science
Differential (mechanical device)
Work (physics)
Artificial neural network
Differential equation
Parallel computing
Algorithm
Embedded system
Artificial intelligence
Mathematics
Engineering
Subject Areas
Neural Networks and Applications
·Artificial Intelligence ·Physical Sciences
Metaheuristic Optimization Algorithms Research
·Artificial Intelligence ·Physical Sciences
Model Reduction and Neural Networks
·Statistical and Nonlinear Physics ·Physical Sciences
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