在界面中形成视觉符号的记忆向量是最有效的技术，但在整个界面设计行业中它仍然是一个有待开发的领域。
A memorization vector formed of visual symbols in the interface is the most effective technique , yet it remains underexploited in the industry at large.
这就是F的旋度，在实际应用中，如果你必须计算一个向量场的旋度，不要尝试记忆这个公式。
And that is indeed going to be the curl of F. in practice, if you have to compute the curl of a vector field, you know, don't try to remember this formula.
由于这类神经网络能存储双极向量对，并在模式识别、联想记忆、人工智能等方面有广泛应用，对这类模型的研究引起很多学者的关注。
The class of networks has wide applications in many fields such as pattern recognition, associative memory and artificial intelligence. Such model caused much attention of researchers.
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