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Associative learning theory has been used in studies of memory, learning, and verbal learning.

联想学习理论已经被应用于研究记忆、学习和言语学习的工作中。

Hopfield network has been applied to optimal computation and associative memory and proved to be very effective.

当前,Hopfield网络广泛地应用于优化计算和联想记忆中,取得了很好的效果。

An associative memory network with spatiotemporal chaos control is investigated in this paper.

本文提出了一种具有时空混沌控制的联想记忆网络。

This paper studies the structure based on small-world neural network model of associative memory.

详细说明:摘要:本文研究了基于小世界结构的神经网络中的联想记忆模型。

Objective: To explore the relationship between the ability of learning and memory and the proliferation of the neural stem cells, and the role of astrocyte in this case.

探讨不同的学习记忆能力与神经干细胞增殖之间的关系,并阐明星型胶质细胞在其中发挥的作用。

This dissertation shows each unstable asymptotic equilibrium point is just the pattern that refuses to be recognized by combining the idea about constraint and projection with the continuous network LSSM and the discrete network BSB, eliminates some shortcomings of LSSM and BSB in the distribution of attraction domain. LSSM and BSB are then improved to be ideal associative memory and can be implemented by circuit.

将约束投影思想与连续神经网络LSSM和离散神经网络BSB相结合,说明了不渐近稳定的平衡点恰是实际中拒识模式,根除了LSSM和BSB在吸引域分布等方面的一些缺点,将它们完善成为理想的联想记忆器,并且它可用电路实现。

Some sufficient conditions for asymptotic stability of the network's equilibria are presented.

研究网络的渐近稳定性是研究联想记忆及其它应用的关键。

Study of asymptotic stability is the basis of associative memory designs.

本文提出了联想记忆神经网络新的设计方法。

People with limited memory retention are at a disadvantage to use this technique.

有限的人的记忆是很不利的使用这项技术。

At issue is the problem of memory loss and what can be done to improve it.

问题是记忆丧失的问题,以及如何改进它。

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