并对该神经网络模型的学习算法进行了研究，提出了一种自适应并行学习算法。
The learning of the network is also studied and an adaptive parallel learning algorithm is proposed.
对大规模训练样本的支持向量机训练问题进行探索，提出了一种基于正交表的并行学习算法。
Explores the training problems of support vector machine with large training pattern set, and a new parallel algorithm based on orthogonal array is presented.
本文提出了一种利用微机机群来实现并行处理，在并行编程环境P VM中实现BP神经网络的并行学习算法。
In this paper, we proposed a parallel BP neural network learning algorithm with the support of PC cluster under the circumstance of PVM (parallel Virtual Machine).
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