多值指数关联联想记忆模型（MMECAM）是一种高存储容量的自联想记忆神经网络。
Modified Multi-valued Exponential Correlation Associative Memory Model (MMECAM) is a neural network with higher storage capacity.
本文利用模糊联想记忆神经网络作为控制器，对任意初始状态的结构自由振动进行主动控制。
The active control of structural free vibration using fuzzy associative memory networks controller is studied in this paper.
本文提出一种基于模糊联想记忆神经网络的土地质量评价方法，并以实例证实了该方法的简便、快速、客观和实用性。
Now a land quality evaluation method based on fuzzy association neural network is put forward and the method is proved simple, rapid and practical.
基于神经网络自联想记忆功能，提出了一种新的数字图像水印算法。
A novel digital image watermarking algorithm based on the association memory ability of neural network is proposed in this paper.
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。
A modified associative memory model of Artificial Neural Network (ANN) is introduced into the fault diagnosis of computer numerical control machine tool.
将一种改进了的神经网络联想记忆模型应用于雷达伺服分系统的BIT设计中，取得了比较满意的效果。
A new model of neural network associative memory is introduced into the BIT design of radar servo sub-system, which achieves satisfactory effect.
神经网络的联想记忆功能、容错性和鲁棒性以及很好的非线性映射能力，使得这一方法明显优于传统的诊断方法。
The associational memory function, error-correction, robustness and the well non-linear reflection ability make the proposed method superior to the traditional dictionary method apparently.
已有的研究结果表明，混沌神经网络在求解复杂优化问题和联想记忆等方面比现有网络有着更好的性能。
The research results show that the chaotic neural networks are more effective than other existing neural networks to solve associative memory and complex optimization problems.
最后对抑制型动态突触神经网络在联想记忆中的应用进行了研究。
Finally, we apply neural network models with dynamic depressing synapses in the field of associative memory.
本文较为详细地探讨了神经网络双向联想记忆法在机械系统故障诊断中的应用。
This paper studies in details the application of the bidirectional associative memory method to the fault diagnosis of mechanical system.
稳定点是决定人工神经网络联想记忆能力的最重要因素。
The number of stable points is a key measurement of the capacity of neural network"s associative memory."
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 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.
联结主义认为使用单一机制的神经网络系统足以解释规则和不规则语素变体； 双机制则认为需要规则系统和联想记忆两个不同的机制对此进行解释。
On the other side of the debate are dual-mechanism approaches which posit that regular verb forms are computed in a rule-processing system while irregular verbs are processed in associative memory.
反馈神经网络是神经网络中最重要的类型之一，这种网络的突出特点就是它具有联想记忆的功能。
Feedback neural network is one of the most important neural network, the most remarkable feature of this kind of network is the associative memory function.
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。
As a biological neural mathematical model, RNN has particular advantages of associative memory, image processing and combinatorial optimization.
根据采集的样本训练出模糊神经网络的连接矩阵，然后对单个的联想记忆网络进行合成，实现故障的诊断。
The gathered samples are used to train the connected matrix of the fuzzy-neural network. And every single fuzzy-neural network is assembled to realize fault diagnosis.
根据采集的样本训练出模糊神经网络的连接矩阵，然后对单个的联想记忆网络进行合成，实现故障的诊断。
The gathered samples are used to train the connected matrix of the fuzzy-neural network. And every single fuzzy-neural network is assembled to realize fault diagnosis.
应用推荐