可见网络的容错能力是十分令人满意的。

The fault-tolerant ability of the FLN is very satisfactory.

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具有容错能力的人工神经网络结构，可以提高人工神经网络的可靠性。

The artificial neural network model with capacity of error-tolerance can improve the reliability considerably.

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较全面地分析了网络系统中的容错设计的问题，提出了一系列有效提高系统容错能力的硬件措施与软件措施。

The faulttolerance design in network system is analyzed thoroughly, and a series of efficient measures for promoting the faulttolerance ability in hardware and software are presented.

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