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。
Enhancing the associative learning was an effective method for rehabilitative therapy for the complication.
加强联合型学习是该并发症康复治疗的有效手段。
Nonlinear discrimination and cue interaction are two important characteristics of human associative learning.
非线性辨别和线索交互作用是人类联想学习中两个重要的特征。
Current models of associative learning explain nonlinear discrimination by assuming that people store stimulus information configural.
目前的联想学习模型解释是：假设人们从结构上储存刺激的信息，并进行的非线性辨别。
This study we note that another well-known set of findings in human associative learning, cue-interaction phenomena, suggest relatively broad generalization.
本研究讲述了人类联想学习研究中其他一系列众所周知的发现，比如线索交互作用现象能够表明联想学习中相对广泛的类化。
Bernstein and her colleagues also proposed a model that associative learning takes place when a conditioned stimulus is followed by an unconditioned stimulus, triggering convergent neurons.
伯恩斯坦博士和她的同事还提出一种模型，即当给予非条件刺激物后给予条件刺激，联想性学习就会发生，即触发了会聚神经元。
This paper presents an optimized learning strategy for a bidirectional associative memory.
本文提出了一种异联想记忆模型的优化学习算法。
A design method of ahead masking associative memory model with expecting fault-tolerant field is proposed by use of the general feed-forward network and sequential learning algorithm given by authors.
文中用作者提出的通用前馈网络和排序学习算法，提出了一种设计具有期望容错域的前向掩蔽联想记忆模型的方法。
There are two simple types of learning: associative and non-associative.
有两个简单的学习形式：关联和非关联。
Based on the established model, some associative pattern learning algorithms were put forward, which had the physiological features of structure's self-organizing and neural circuits' reverberating.
研究了基于所建模型的联想式模式学习算法。该算法模型体现了结构自组织、神经回路反响谐振等生理学特征。
Vocabulary learning is one of the most important aspects of the language learning and a word has associative meaning besides conceptual meaning.
词汇学习历来是语言学习的重点，词汇不仅有概念意义而且有联想意义。
Results of the study show that associative strategy is helpful for both the receptive learning and productive use of vocabulary with more obvious progress in receptive vocabulary learning.
结果表明：联想策略能促进词汇的接受性学习和输出，但对接受性词汇学习的效果更加明显；
This paper proposes an improved version of the associative memory learning control system (AMLCS) for industrial processes with almost completely unknown but slowly time-varying dynamics.
对相联存储自学习控制系统(AMLCS)提出了一种改进方案，可用于动态特性几乎完全未知且慢时变的工业过程。
The exponential stability and trajectory bounds of the motions of equilibria of an associative neural network under structural variations while learning a new pattern are investigated.
本文讨论了一类联想神经网络在学习过程中结构变化引起网络平衡点状态变化的动态特性；研究了网络的指数稳定性质；
The models used in this work were from linear associative memory method and fast compensated by adaptively learning from the given facial data, which were obtained in same condition as testing.
该方法在真实识别前，通过用与真实识别相同的环境条件下所获得的人脸图像数据对原始模型进行更新补偿，实现了模型自适应。
The models used in this work were from linear associative memory method and fast compensated by adaptively learning from the given facial data, which were obtained in same condition as testing.
该方法在真实识别前，通过用与真实识别相同的环境条件下所获得的人脸图像数据对原始模型进行更新补偿，实现了模型自适应。
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