Cooperative learning in neural networks using particle swarm optimizers
Cooperative learning in neural networks using particle swarm optimizers
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发表时间：
2000-11
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通讯作者：
F. V. D. Bergh;A. Engelbrecht
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作者：
F. V. D. Bergh;A. Engelbrecht
本文提出了一种方法，采用粒子群优化器的合作配置。这是通过将输入向量分成几个子向量来实现的，每个子向量在其自己的群中进行协作优化。研究了该技术在神经网络训练中的应用，取得了令人满意的结果。
This paper presents a method to employ particle swarms optimizers in a cooperative configuration. This is achieved by splitting the input vector into several sub-vectors, each which is optimized cooperatively in its own swarm. the application of this technique to neural network training is investigated, with promising results.