FPGA implementation of particle swarm optimization for inversion of large neural networks

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.