经络循行,Meridian Circulation英语短句,例句大全

经络循行,Meridian Circulation
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。

英文短句/例句

1.LARGE Globally Exponential Stability of Recurrent Neural Networks with Time-Varying Delay;变时滞循环神经网络模型的全局指数稳定性
2.Existence of Periodic Solutions for Recurrent Neural Networks with Discontinuous Neuron Activations具有不连续神经激励的循环神经网络的周期解存在性(英文)
3.The Application of Fuzzy Neural Network in Circulating Fluidized Bed;模糊神经网络在循环流化床中的应用
4.A STUDY ON CYCLIC STRENGTH OF SOFT CLAY BASED ON BP NEURAL NETWORK基于BP神经网络软粘土循环强度研究
5.Forecast the Balance of Alkalinity of Circulatory Water in Utilizing Artificial Neural Network;人工神经网络预测循环水的平衡碱度与pH
6.The application of the neural network control method in the combustion process of circulating fluidized bed boiler神经网络方法在循环流化床燃烧中的应用
7.Initial discussion of soft soil's constitutive mode under neural network establishing cyclic loading神经网络建立循环荷载下软土的本构模型初探
8.COUPLING ANALYSIS OF CYCLIC STRENGTH FOR SOFT CLAY BY NUMERICALSIMULATING AND BP NEURAL NETWORKS基于BP神经网络软粘土循环强度的数值模拟
9.Evaluating mining city circular economy by integrated indices based on BP artificial neural networks;基于人工神经网络的矿业城市循环经济综合指标评价
10.Application of Artificial Neural Network and Chaos Theory in Gas-Solid Circulating Fluidized Bed人工神经网络及混沌理论在气固循环流化床中的应用
11.Four Application Models for Artificial Neural Network and Genetic Algorithm in Case Based Reasoning Cycle基于事例的推理循环中人工神经网络和遗传算法的4种应用模型
12.Neural Network-Based Intelligent Integrated Modeling for the CFB-FGD Processes;基于神经网络的循环流化床烟气脱硫过程的智能集成建模研究
13.Optimization Control System for Circulation Pumps in Power Plant Base on Nerve Network;基于神经网络智能控制的火电厂循环水控制系统
14.Artificial Neural Network Model of Evaluation for Efficient of Organization Cycle in Chinese Enterprises Based on the Information Structure of Cash Flow;基于现金流信息结构的企业组织循环效率评价的神经网络模型
15.Research on the Application of Artifieial Neural Network in Predicting Freezing and Thawing Cycles of Conerete人工神经网络在混凝土冻融循环性能预测中的应用研究
16.A Design of Large Generator Micro-alkali Circle Water Control System Using Neural Net-work基于神经网络的大型发电机微碱循环水控制系统的设计
17.NN Predictive Control of CFB Bed Temperature System神经网络预测控制在循环流化床锅炉床温系统的应用
18.PSO-PID Control of CFB Boiler Combustion-Steam Water System Based on α-order Inverse Neural Network(NN) Decoupling基于α阶逆神经网络解耦的循环流化床锅炉燃烧-汽水系统PSO-PID控制

相关短句/例句

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。