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首页> 外文期刊>Journal of Advanced Computatioanl Intelligence and Intelligent Informatics >Separability Conditions for Multilayer Nets Having Solutions and Convergent Superiority of Bipolar Nets
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Separability Conditions for Multilayer Nets Having Solutions and Convergent Superiority of Bipolar Nets

机译:多层网具有双极网的解决方案和会聚优越性的多层网的可分离条件

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摘要

Separability conditions are formulated for multilayer nets to have solutions by a set of normal vectors orthogonal to separation hyperplanes. Comparing separability conditions to distributions of normal vectors with weights and biases initialized ordinarily by random numbers with a zero mean, we found that bipolar nets are superior to unipolar nets in convergence of the back propagation learning initialized in such an ordinary manner.
机译:为多层网配制可分离的条件,以通过与分离超平面正交的一组正常载体具有溶液。 将可分离性条件与零均值的随机数初始化的普通载体的分布与零均值相比,我们发现双极网以如此普通方式初始化的后传播学习的收敛性优于单极网。

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