Using the particle swarm optimization technique to train a recurrent neural model
J. Salerno · 2002
We discuss the results of implementing an evolutionary learning technique entitled particle swarm optimization as described by Kennedy and Eberhart (1995). We present a number of results using this technique on a number of neural model architectures using the XOR problem and then conclude by applying it to a real problem-parsing natural language phrases.