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DOI: 10.11830/ISSN.1000-5013.2014.01.0011

Keywords: ?????????, ?????, ???????????, ??????о???

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Abstract:

提出一种基于公平神经网络的学习算法.设置一个合理的信源数初始值,通过构造的一个稳定性判决器,能够自适应调整神经网络的维数,并估计出信源数真实值,从而使信源得以成功分离.理论分析表明,在其数学统计意义上缩减了训练时间;而计算机仿真结果表明,在其不同信源数条件下均能快速收敛.

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