associative memory的例句大全

The multidirectional associative memory ( MAM) neural network extended the bidirectional associative memory ( BAM) neural network, which was proposed by Hagiwara M., a Japanese scholar, in 1990.

多向联想记忆神经网络（MAM）由日本学者Hagiwara M.于1990年提出，它是双向联想记忆神经网络（BAM）的扩展。

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Due to the noise sensitivity of Kohonen ′ s model, Murakami proposes a least square associative memory model ( LSAM) by using noise corrupted inputs to optimize Kohonen ′ s model which greatly reduces the noise sensitivity of the original model.

由于Kohonen模型对噪声极端敏感，Murakami提出一个利用带噪输入优化Kohonen模型的最小平方联想记忆模型（LSAM），大大降低原有模型噪声敏感性。

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Salient feature based associative memory model

基于突出特征的联想记忆神经网络

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The memory structure constructed by IME is an open storage structure, which can implement some properties of memory such as hierarchy, semantics, dynamics, and fuzziness, and provides the necessary information for associative memory mechanism based on this memory structure.

由IME构成的记忆结构是一个开放性的存储结构，可以实现记忆的层次性、语义性、时效性和灰度性，并提供在此记忆结构进行联想记忆的必要信息。

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Chaotic activities play an important role in the human and animal brains, chaotic itinerancy and the Freeman model are believed to be connected with the associative memory, or dynamic link of memory.

混沌在人与动物的脑中扮演着重要的角色，混沌周游与Freeman模型被认为与联想记忆或记忆的动态连接有关。

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the am associative memory is a key concept in computer science.

联想记忆是计算机科学中的一个关键概念。

AI例句精选

Natural immune systems have many features such as multiple layers, distributability, diversity, error tolerance, dynamic protection, adaptability, associative memory and self protection.

自然免疫系统具有多层次、分布性、多样性、容错性、动态防护、自适应性、联想记忆、自我防护等特点。

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An Associative Memory Model Based on Recurrent Multi-layer Neural Networks

基于循环多层神经网络的联想存贮器

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The continuous neural network based on the constraint domain for associative memory

基于约束区域的连续时间联想记忆神经网络

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In this study, we researched a well-known neural network modeling& MP modeling and suggest a new multidimensional MP modeling. As a biological neural mathematical model, RNN has particular advantages of associative memory, image processing and combinatorial optimization.

对著名的神经元数学模型MP模型进行了研究，提出了一种多维MP模型.作为仿生神经元数学模型，随机神经网络在联想记忆、图像处理、组合优化问题上都显示出较强的优势。

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Approach for Multi-granularity and Many-to-many Associative Memory Based on Incidence of Patterns

基于模式关联的多粒度多对多联想记忆模型

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Finally, computer simulations demonstrate that the constructed models have good performance on many-to-many associative memory.

最后的计算机模拟，证实了新的模型具有良好的多对多联想记忆功能。

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A Chaotic Neural Network and its Applications in Separation of Superimposed Pattern and Many-to-Many Associative Memory

混沌神经网络在分离叠加模式和多对多联想记忆中的应用

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An Implementation Model for Multi-Granularity and Many-to-Many Associative Memory

多粒度多对多联想记忆的一种实现模型

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Associative Memory of Gray Scale Images with Chaotic Neural Networks

混沌神经网络用于灰度图象的联想记忆

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the teacher used an associative memory match game in class.

老师在课堂上使用了一个联想记忆匹配游戏。

AI例句精选

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.

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Artificial Neural Network ( ANN) can approximate any complex nonlinear system, has good pattern recognition, adaptive learning and memory ability, such as associative memory.

人工神经网络（ANN）可以逼近任意复杂的非线性系统，具有较好的模式识别、自适应学习和记忆联想等能力。

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Application of Self Associative Memory Neural Network Algorithm in Analyzing Composite Spectra of X Ray

自联想神经网络算法在X射线复合谱分析中的应用

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associative memory system was constructed by newton's forward interpolation polynomial, and was used to establish model for image data.

利用牛顿前向插值多项式构建联想记忆系统，对图像数据进行建模。

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