本质上 很抱歉，暂未找到该词条在当前类别下的译词。您可以查看在所有学科下的译词。   “本质上”译为未确定词的双语例句     The outstanding characteristic of STEP-NC-based NC program is that it is neutral and notspecific to any CNC system.     与传统数控程序相比,本质上的区别是STEP-NC数控程序是中性的,并不针对特定的数控系统。 短句来源     Compared to the traditional fiber sensors, the wavelength-modulate fiber grating sensor has the high reliability and stability, has large application advantage in the fiber inspection, is convenient to continuous measurement in compound material and inside state of the huge construction ,and is convenient to form all kinds of the fiber sensing net to measure multi-point.     与传统的光纤传感器相比，波长调制型的光纤光栅传感器，因为光纤传输的光波频率特性稳定以及光纤光栅传感系统从本质上排除了各种光强起伏引起的干扰，因而基于光纤光栅的传感系统具有很高的可靠性和稳定性，光纤监测具有较大的应用优势，便于对复合材料构件及大型建筑物内部状态进行连续监测，便于构成各种形式的光纤传感网络，进行多点测量。 短句来源     This paper point out that the formulation K_f=K_0/(1+K_0B) is practically a voltage relation between two nodes. It differ from the popular formulation for feedback A_F=A/(1+AF) A method to utilize superposition principle is introduced.     指出广义反馈公式K_f=K_0/(1+K_0B)实际上是节点电压关系式,和反馈一般表达式A_f=A/(1+AF)在本质上是不同的。 短句来源     The result of experiment shows that this method eliminated steady state error of the system inherently, and improved performance of steady state of fuzzy control system.     实验结果表明:此方法能从本质上消除系统的稳态误差,明显地改善了模糊控制系统的稳态性能。 短句来源     Ethernet technology cannot meet the real-time requirements of control system in the field of industrial automation.     以太网本质上存在通信的不确定性,因此将以太网技术直接应用在工业自动化领域不能满足工业控制系统的实时性需求。 短句来源 更多        查询“本质上”译词为用户自定义的双语例句     我想查看译文中含有：的双语例句 没有找到相关例句 Pattern recognition methods,capable of advanced decision making without a precise description of the pro-cess model,have been used in many cases to implement advanced control systems.Such techniques have been ap-plied to structural identification of nonlinear systems and distributed parameter systems,direct control of systemsoperating in unfamiliar environments,and dynamic modelling,state estimation,optimizing,fault diagnosis,predictive control,self-tuning control,intelligent control and so on.An account of... Pattern recognition methods,capable of advanced decision making without a precise description of the pro-cess model,have been used in many cases to implement advanced control systems.Such techniques have been ap-plied to structural identification of nonlinear systems and distributed parameter systems,direct control of systemsoperating in unfamiliar environments,and dynamic modelling,state estimation,optimizing,fault diagnosis,predictive control,self-tuning control,intelligent control and so on.An account of these techniques and their ap-plication to controls is given in this paper.Possible new applications of pattern recognition to process control sys-tems are suggested. 模式识别方法本质上是一种分类方法,它不需要过程的数学模型就可做出高级决策。模式识别方法已在过程控制中的许多领域得到了应用,如非线性和分布参数系统的结构辨识、在未知环境下运行系统的控制、自适应控制、智能控制、动态建模、状态估计、优化控制、故障诊断等。本文将概述模式识别方法在以上各方面(?)情况,并指出今后可能的研究方向。 This paper presents a summarized definition of artificial neural network and its research method. The basis of its development and the relation between the basis and the information processing are also dealt with. Attamp is made theoretically to enable the processing system designer to be aware of the relation on mathematical essenre between the network and the processing,so that he can know what are the very problems to be solved by means of this network technique for more ideal results. 本文阐述了人工神经网络的概括定义、研究方法、发展的基础以及这些基础与信息处理的关系,试图从思想或概念上使信息处理系统的设计者懂得在使用人工神经网络技术设计信息处理系统时,究竟那些特性总是实质性的和必不可少的;并了解人工神经网络与信息处理在数学本质上的联系,进而让人们知道究竟那些问题更适于用人工神经网络技术来解决。 The learning procedure of neural networks can be regarded as a problem ofestimation (or identifying) parameters with a nonlinear or linear observation equation. Allalgorithms having been put up were assumed to have constant learning rates or constantaccelerative. In this paper, making use of Kalman filtering, we derive a new back-propaga-tion algorithm whose learning rate is computed by Riccati difference equation. 神经网络的学习过程本质上可以看成是一组线性或非线性观测方程的参数估值或参数识别问题。在已经提出的许多学习算法中,学习速度或者加速度常常假定为定值。本文运用卡尔曼滤波原理,提出了一种新的神经网络学习算法。该算法的学习速度是由带时间参数的里卡蒂微分方程来确定的。   << 更多相关文摘      相关查询 本质上不同 本质上说 本质上相同 本质上来说 本质上是 本质上牵连犯 本质上反映了 本质上的差别 本质上彼此相像

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