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Using the particle swarm optimization technique to train a recurrent neural model

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1 Author(s)
Salerno, J. ; Rome Lab., NY, USA

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

Published in:

Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference on

Date of Conference:

3-8 Nov 1997