共查询到19条相似文献，搜索用时 218 毫秒
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双向联想可以模仿人脑的模糊联想的功能.采用模糊矩阵合成的运算方法对双向联想的可行条件进行探讨,可推导出单模式的充要条件,并提出解决多模式双向联想可行条件的方法. 相似文献
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从协同学角度出发，提出了一种协同联想记忆分类器（SAMC）的实现算法，为了验证SAMC算法的有效性，针对汽车车牌图像的识别系统，构建了一个基于SAMC的解决方案，实验结果表明，用SAMC实现算法来识别效果好，适合于对有噪声的车牌图像进行处理，该算法训练简单，联想能力强，对具有背景噪声和视角引起的图像畸变失真具有一定的抗干扰能力，识别结果令人满意。 相似文献
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双向联想记忆神经网络模型形式与结构多种多样,研究方法也千差万别。总结了在双向联想记忆神经网络的研究中对网络联接权重、时滞及信号传递函数等的不同要求,比较了在不同环境下双向联想记忆神经网络的种种模型的形式。最后,对双向联想记忆神经网络理论研究中常用的方法进行了分析,并探讨了进一步的研究方向。 相似文献
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大学英语词汇教学的联想记忆策略 总被引：2，自引：1，他引：1
联想记忆法是语言习得者记忆词汇的捷径,在语言学习中应用广泛。本文根据大学生学习英语的特点,探讨了词汇联想记忆的方法．讨论了教学中如何利用联想规律记忆词汇的多种方法．从而达到有效开发和利用人的记忆潜能、扩大词汇量的目的。 相似文献
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英语单词作为英语这门语言的基本组成单位，它的记忆关系到了能否学好这门语言的问题。作者结合多年来的教学经验，探讨了单词的联想记忆法的基本内容和形式（包括字形、语义和语音等三个方面），说明它是一种充满乐趣并行之有效的记忆方法。 相似文献
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30年前,随着Hopfield神经网络的出现,建立了联想记忆模型;形态学联想记忆作为一种新型的联想记忆模型,给人类模拟联想记忆能力带来了新的气息.因而很有必要对MAM网络与Hopfield AM网络进行性能比较. 相似文献
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《华夏少年(简快作文 )》2017,(7)
重点分析了小学生记不住英语单词的原因并提出了新的记忆方法:联想记忆。分析谐音联想、韵律关联、流程想象、象形分析等四种具体的方法在小学英语单词教学中的灵活应用,引导学生在英语学习的过程中感受联想记忆法在记忆英语单词中的乐趣。帮助解决小学生在英文单词学习时"记不住,忘得快"这一普遍问题。也为小学英语教师在英语基础教学时提供具体的解决方案。 相似文献
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通过构造李雅普诺夫函数,利用M-矩阵理论以及Young不等式技巧,给出了一类含有分布时滞和脉冲双向联想记忆神经网络的平衡点的全局指数稳定性的充分条件,这些条件去掉了对激活函数的有界性、单调性和可微性的要求,且在某些情况下更易验证. 相似文献
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To facilitate stability analysis of discrete-time bidirectional associative memory (BAM) neural networks, they were converted into novel neural network models, termed standard neural network models (SNNMs), which interconnect linear dynamic systems and bounded static nonlinear operators. By combining a number of different Lyapunov functionals with S-procedure, some useful criteria of global asymptotic stability and global exponential stability of the equilibrium points of SNNMs were derived. These stability conditions were formulated as linear matrix inequalities (LMIs). So global stability of the discrete-time BAM neural networks could be analyzed by using the stability results of the SNNMs. Compared to the existing stability analysis methods, the proposed approach is easy to implement, less conservative, and is applicable to other recurrent neural networks. 相似文献
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Studies on the stability of the equilibrium points of continuous bidirectional associative memory (BAM) neural network have yielded many useful results. A novel neural network model called standard neural network model (SNNM) is ad- vanced. By using state affine transformation, the BAM neural networks were converted to SNNMs. Some sufficient conditions for the global asymptotic stability of continuous BAM neural networks were derived from studies on the SNNMs’ stability. These co… 相似文献
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This paper investigates the exponential synchronization problem of some chaotic delayed neural networks based on the proposed general neural network model, which is the interconnection of a linear delayed dynamic system and a bounded static nonlinear operator, and covers several well-known neural networks, such as Hopfield neural networks, cellular neural networks （CNNs）, bidirectional associative memory （BAM） networks, recurrent multilayer perceptrons （RMLPs）. By virtue of Lyapunov- Krasovskii stability theory and linear matrix inequality （LMI） technique, some exponential synchronization criteria are derived. Using the drive-response concept, hybrid feedback controllers are designed to synchronize two identical chaotic neural networks based on those synchronization criteria. Finally, detailed comparisons with existing results are made and numerical simulations are carried out to demonstrate the effectiveness of the established synchronization laws. 相似文献
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In order to reduce the complexity of neural network connectivity,a dy-namical model for unfully interconnected neural network,including its energy func-tion,local area field and learning rule,is presented.The basic idea is to decompose aHopfield network into several subnetworks and set up some interconnections betweenthem.The statistical analysis of the associative memory process shows that the num-ber of interconnections after the first decomposition is reduced by 25% comparedwith that of the Hopfield network,but the storage capacity and the associative abilityof the network remain unchanged.With the decomposition continued,the number ofinterconnections is considerably reduced.Despite the reduction in storage capacityand associative ability with continuous decomposition,the average information capac-ity per interconnection has increased nearly by 100%.Finally the relationship be-tween high-order interconnection and multilayer network architecture is discussed. 相似文献
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林轩如 《黑龙江教育学院学报》2014,(2):94-96
词汇教学在小学英语教学中起着举足轻重的作用。象形联想法运用单词里的字母与图形的完美结合,符合儿童的直观记忆方式,能够降低学生的认知负荷,促进学生高效地学习词汇,同时保持学生的学习兴趣。对于象形联想法零散的弱点,可以结合思维导图,突出图形运用,充分调动学生左右半脑的学习。基于此,总结了常见的英语词汇的象形教学法,并通过课堂实践测试该教学方法的使用效果,以期推动小学英语词汇教学质量进一步提高。 相似文献
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利用Lyapunov泛涵方法并结合一些不等式技巧获得了一类具自连接的双向联想记忆时延系统平衡点的存在性和全局指数稳定的充分条件. 相似文献
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首先利用形态学联想记忆W良好的抗腐蚀性和M良好的抗膨胀性,提出了对偶核的概念和方法,将核及其对偶核二者结合起来,以使异联想形态学记忆达到更好的效果.文中对对偶核需要满足的条件进行了界定,对其性质进行了研究,找到了一种加速寻找对偶核的方法,并在尺度空间下对对偶核概念作了进一步的扩充,扩大了其应用范围,增强了其实用性.通过数字和彩色图像的仿真实例验证了对偶核在抗随机噪声方面有良好的性能. 相似文献