For either natural or artificial memory to be useful, there must be mechanisms that enable the memory to be drawn upon when needed.
要使自然记忆或人工记忆有用处，必须有一些机制能让这些记忆在需要的时候被用上。
In short, such kind of study on artificial memory is just method centralism, and it's merely a typical presentation in memory study and far away from people's real life.
简言之，这种人工记忆研究是方法中心主义，在记忆研究中的典型体现，它远离人们的现实生活。
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.
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。
It can be run on up to two dual-core CPU servers, with up to 4 GB of memory, any storage system setup, and no database size restrictions — or any other types of artificial restrictions.
它可以运行多达两个双核CPU服务器、多达4GB的内存、任何存储系统设置，而且无任何数据库大小限制和其他人为限制。
DB2 Express-C can be run on up to two dual-core CPU servers, with up to 4 GB of memory, any storage system setup and with no restrictions on database size or any other artificial restrictions.
DB 2Express - C可以在至多两个双核CPU服务器上运行，服务器上最大内存为4GB，任何存储系统设置，没有数据库大小或者任何其它人为限制。
The artificial kind of memory that consists of libraries, files, and records, is the most important in organizations.
人工的记忆包括了藏书、档案、和记录，这在组织中是最重要的。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a new hybrid clustering method based on the artificial immune theory is presented.
通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种基于人工免疫原理的混合聚类算法。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a hybrid algorithm combining C-means algorithm and artificial immune algorithm is presented.
通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种人工免疫c -均值混合聚类算法。
A perceptive and associative memory model for generalized artificial brain and the algorithm of its realization are proposed.
提出一种广义人工脑感知联想记忆模型，给出它的实现算法。
A modified associative memory model of Artificial Neural Network (ANN) is introduced into the fault diagnosis of computer numerical control machine tool.
提出了将一种改进的人工神经网络联想记忆模型应用于计算机数控机床的故障诊断方法。
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.
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 realization of associative memory is always the one of researching directions of artificial neural networks and the key problem is to realize associative memory for many to many associations.
联想记忆的实现一直是人工神经元网络研究的方向之一，其中一个重点就是实现多对多联想记忆。
Artificial Immune Network Memory Classifier(AINMC)and Artificial Immune Recognition System(AIRS)are two kinds of classifier based on artificial immune systems.
人工免疫网络记忆分类器和人工免疫识别系统是两种人工免疫分类方法。
Based on idiotypic immune network theory, a Regional-memory-pattern Artificial idiotypic network (RAIN) is proposed to classify multi-spectral remote sensing image.
摘要基于独特型免疫网络原理，提出了一种新型的分区记忆模式人工独特型网络模型，并利用其对卫星遥感数据进行了分类。
In this paper, artificial immune memory classifier is used to research such problem.
文章利用基于免疫记忆的分类器—免疫记忆分类器研究该类问题。
Artificial Intelligence computers have large amounts of memory, capable of storing huge translating dictionaries and extensive lists of grammar rules.
人工智能的计算机有着巨大的存储能力，能存储庞大的翻译字典和广阔的语法规则。
Artificial Intelligence computers have large amounts of memory, capable of storing huge translating dictionaries and extensive lists of grammar rules.
人工智能的计算机有着巨大的存储能力，能存储庞大的翻译字典和广阔的语法规则。
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