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

Authors:
Affiliations:
Venue:
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Year:
1997

Citing 0
Cited 11

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Abstract

Abstract: 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.