The chaotic sequences are very easily generated by changing weights of neural network model, and their number is large.

利用网络权值调整的灵活性来产生混沌序列，该模型序列更换容易并且数量巨大。

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A TLU learns by changing its weights and threshold.

TLU通过改变它的权系数和阈值来学习。

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By changing the weights, such as 100 for the.text value, you can fine-tune calculated recognition scores and increase script resilience.

通过改变权重，例如对. text值设置为100，您可以优化计算识别评分并增加测试脚本的简洁性。

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