FPGA implementation of particle swarm optimization for inversion of large neural networks
P.D. Reynolds, R.W. Duren, M.L. Trumbo, Robert J. Marks · 2005
Particle swarm inversion of large neural networks is a computationally intensive process. By the implementing a modified particle swarm optimizer and neural network in reconfigurable hardware, many of the computations can be preformed simultaneously, significantly reducing compilation time compared to a conventional computer.