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1)  Meridian Circulation
经络循行
2)  diagram of 4D meridian circulation
四维经络循行图
3)  Running courses of channels
经脉循行
4)  circulation of eight extra meridians
奇经循行
1.
The earliest record of the circulation of eight extra meridians was in Internal Classic,but the content was scattered,had no specific starting and ending points,and did not differentiate the yin and yang parts.
奇经八脉的循行最早见载于《内经》,但内容零散、无明确起止和无阴阳部位区别,《难经》在其基础上规范和概括了奇经八脉的起止循行,不但促进了奇经循行理论的完善,而且对深刻认识奇经八脉的功能有重要意义。
5)  recurrent neural network
循环神经网络
1.
Compared with the well known extended Kalman filter (EKF), a recurrent neural network was proposed for the solution, which not only improves the location precision, the adaptive ability of resisting disturbances, but also avoids calculating the analytic derivation and Jacobian ma.
提出了一种基于循环神经网络的方法,和传统的扩展卡尔曼滤波(EKF)方法相比,该方法不仅提高了系统定位的准确性和自适应抗干扰能力;而且不需要模型的具体解析形式,避免了复杂的 Jacobian 矩阵的计算,算法更简单,也更加易于实现。
2.
Diagonal Recurrent Neural Network (DRNN) is a modified model of the fully connected recurrent neural network with the advantage in capturing the dynamic behavior of a system.
对角循环神经网络是一类经过修正的全连接循环神经网络,在系统动态行为的俘获方面具有明显的优势。
3.
An approach to compensating sensor drift based on recurrent neural networks is discussed in the paper.
本文讨论了一种基于循环神经网络的传感器补偿新方法。
6)  recurrent neural networks
循环神经网络
1.
Recurrent neural networks can direct reflection the dynamic property of system,the same saleroom has dynamic property.
企业产品销售额的分布具有动态的特性,循环神经网络能够直接地反映系统动态、非线性的特性,因此,考虑用循环神经网络来预测企业产品的销售额,同时为了避免训练陷入区域极小值,用遗传算法来改进网络的权值算法。
2.
Recurrent Neural Networks (RNN) is one important branch belonging to Artificial Neural Networks (ANN) with better ability for learning time series in comparison with Forward Neural Networks (FNN), howbeit no independent learning algorithm based on FNNs’.
循环神经网络(RecurrentNeuralNetworks)是人工神经网络(ArtificialNeuralNetworks)中重要的分支,与前馈神经网络(ForwardNeuralNetworks)相比具有更好的时间序列学习能力。
3.
By using Brouwer s fixed theorem, generalized Halanay s delay differential inequality and Dini s derivative, the existence of stationary point and globally exponential stability of recurrent neural networks with time-varying delay are studied.
利用Brouwer不动点定理,推广的Halanay时延微分不等式及Dini导数,讨论了具有变时滞循环神经网络模型的平衡点的存在性和全局指数稳定性,在不要求激活函数连续可导的条件下,得到了非常简单实用的判别条件。
补充资料:循行
1.巡视;巡行。循,通"巡"。 2.指巡视人员。 3.品行美好。亦指好的德行。 4.遵行,照办。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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