A neural net that USES this rule is known as a perceptron, and this rule is called the perceptron learning rule.
一个使用这个规则的神经网络称为感知器，并且这个规则被称为感知器学习规则。
If this proves to be a general rule of nondeclarative learning, it could help to explain how potent instances of learning can arise when sensory stimulation is not always coupled with attention.
如果这被证明是一个普遍规律，只是尚未公开的话，它也许可以帮忙解释这个问题：在集中注意力的时候，若并不总是伴以感官刺激，那么学习的潜力是如何被激发出来的。
The rule used for representing the learning curve effect states that the more times a task has been performed, the less time will be required on each subsequent iteration.
表示学习曲线效应的规则是做一个任务的次数越多，每次重复所需的时间越少。
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