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把多层神经网络具有内在容错性归因于其信息处理和信息存贮的分布特性，以及每个神经元固有的故障屏蔽能力。将多层网内在容错性的概念进行了形式化，进而证明了在合理的统计条件下，感知器和两层网是内在容错的。
The intrinsic fault tolerance of multilayer neural networks is attributed to the distribution of information processing and information storage, as well as the inherent fault masking ability of each neuron. The concept of fault tolerance in multi-layer networks is formalized, which proves that perceptors and two-layer networks are inherently fault-tolerant under reasonable statistical conditions.