| The Inherent Fault Tolerance of Multi-Layer Neural Networks |
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| 引用本文： | YangXiaofan,Chen Tinghuai,Wang Xueqin. The Inherent Fault Tolerance of Multi-Layer Neural Networks[J]. 保鲜与加工, 1995, 0(3): 69-75 |
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| 作者姓名： | YangXiaofan Chen Tinghuai Wang Xueqin |
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| 作者单位： | YangXiaofan; Chen Tinghuai; Wang Xueqin |
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| 摘 要： | The inherent fault tolerance of multilayer neural networks (MLNs) is due to thedistributed properties of information processing and information storage in an MLN , and the inher-ent fault-masking capability of every neuron. Also,the concept of inherent fault tolerance of MLNsis formalized, Finally, perceptrons and three-layer nets are shown inherently fault tolerant underreasonable statistical conditions,respectively.
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| 关 键 词： | neural network fault-tolerant computing central limit theorem / multilayerneural network |
The Inherent Fault Tolerance of Multi-Layer Neural Networks |
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| YangXiaofan,Chen Tinghuai,Wang Xueqin. The Inherent Fault Tolerance of Multi-Layer Neural Networks[J]. Storage & Process, 1995, 0(3): 69-75 |
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| Authors: | YangXiaofan Chen Tinghuai Wang Xueqin |
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| Affiliation: | YangXiaofan; Chen Tinghuai; Wang Xueqin |
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| Abstract: | The inherent fault tolerance of multilayer neural networks (MLNs) is due to thedistributed properties of information processing and information storage in an MLN , and the inher-ent fault-masking capability of every neuron. Also,the concept of inherent fault tolerance of MLNsis formalized, Finally, perceptrons and three-layer nets are shown inherently fault tolerant underreasonable statistical conditions,respectively. |
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| Keywords: | neural network fault-tolerant computing central limit theorem / multilayerneural network |
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