On the performance of higher order moment neural computation

W.A. Porter, W. Liu
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引用次数: 6

Abstract

Four benchmark examples for evaluating neural network performance are considered. The performance of the higher order moment neural array, HOMNA, on these benchmarks is explored. Comparable results for backprop networks and ARTMAP networks are available in the literature. It is shown that HOMNA trains faster and gives equivalent or better performance than either of these two alternative neural formats.

高阶矩神经网络计算性能研究
考虑了评估神经网络性能的四个基准示例。高阶矩神经阵列,HOMNA,在这些基准上的性能进行了探讨。文献中有backprop网络和ARTMAP网络的可比结果。结果表明,HOMNA的训练速度更快,并且比这两种替代的神经格式中的任何一种都具有相同或更好的性能。
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