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- The existence of the equilibrium point and global exponential stability of distributed delays neural networks with reaction-diffusion terms are investigated in this paper. 摘要研究了具反应扩散有限连续分布细胞神经网络的平衡点的存在性及全局指数稳定性问题。
- Interval Delayed Neural Networks (IDNN) 区间时滞神经网路(IDNN)
- stochastic delayed neural networks 随机时滞神经网络
- Study on the Stability of Delayed Neural Network 时滞神经网络的稳定性研究
- Memory of Square Wave Signals in the Time Delay Neural Networks 延时神经网络对方波信号的记忆
- A Class of Uniform Stability Criteria for Delay Neural Networks 一类带有时滞的神经网络一致稳定性判别法
- delays neural networks 时滞神经网络
- The role of inhibitory neuron in a delayed neural network 时滞递归神经网络中神经抑制的作用
- Study on the Identification of Wood Drying Based on Time Delay Neural Networks 基于时延神经网络的木材干燥模型辨识的研究
- Exponential stability of the Cohen-Grossberg neural networks with multiple time-varying delays are analyzed. 研究了多重时变时滞的Cohen Grossberg神经网络的指数稳定性.
- Neural Networks Horizon Picker Training. 神经网络层位拾取训练。
- The global asymptotic stability was discussed for the cellular neural networks(CNN) with multiple time-varying delays. 研究了多时变时滞细胞神经网络的全局渐近稳定问题。
- Nonlinear ANC Based on RBF Neural Networks? 基于径向基神经网络的非线性自适应除噪
- Neural Network Trace Editor Training. 神经网络道编辑训练。
- Wu Wei, Cui BT, X.Y.Lou, Some criteria for asymptotic stability of Cohen-Grossberg neural networks with time-varying delays. 黄敏,崔宝同.;小波神经网络在板形板厚控制系统中的应用
- The global asymptotic robust stability of interval cellular neural networks with S-type distributed delays is investigated. The convenient criteria and an example are presented. 摘要研究了一类具有S-分布时滞的区间细胞神经网络的全局渐近鲁棒稳定性问题,得到了实用有效的判别准则并给出了实例。
- Application of artificial neural networks to pattern recognition. 人工神经网络在模式识别中的应用。
- By using the neural networks, a SEC-DED code is found. 由这种网络得到了SEC-DED非线性码。
- NEW TARGET RECOGNITION METHOD OF WIDE-BAND MILLIMETER WAVE RADAR BY USING TIME DELAY NEURAL NETWORK 宽带毫米波雷达目标时延神经网络识别新方法
- So far many fruitful results have been obtained for stability of equilibrium points of Bidirectional Associative Memory (BAM) neural networks with axonal signal transmission delays (DBAM). 对于时滞双向联想记忆(DBAM)神经网络的平衡点的稳定性问题;目前人们已经得到了很多富有意义的成果.