因此，人的理性极大地依赖于心理的和人工的联想与索引手段，这些手段使得存储的记忆在做决策所需时可以获取。
Hence, human rationality relies heavily upon the psychological and artificial associational and indexing devices that make the store of memory accessible when needed for the making of decisions.
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.
多值指数关联联想记忆模型（MMECAM）是一种高存储容量的自联想记忆神经网络。
Modified Multi-valued Exponential Correlation Associative Memory Model (MMECAM) is a neural network with higher storage capacity.
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