还利用三种飞机缩比模型的暗室测量数据，研究了时延神经网络分类器中时延单元数目对分类精度的影响以及分类器的分类性能。
The effect of time delay unit number on classification precision and the performance of TDNN classifier using three typical aircraft dark room data measured with scale model were studied.
针对网络课程内容与学习对象的特点，建立了描述原子知识点和知识单元的模型。
The characteristics of network course contents and students are used to build, the model of describing knowledge point and knowledge cell.
我们运用流体网络理论，建立了三参数单元的侧支体外循环集中参数模型。
A three element model of lumped parameter in peripheral extra corporeal circulation of an animal has been proposed and set up according to the fluid network theory.
为了突出主干和分支网络的特殊性，提出了节理单元模型并专门推导了节理单元的连续性方程。
A joint element is presented to represent the trunk and branch networks and used to derive the continuity equation for these two network systems.
该模型限于至网络单元(Q3)接口的操作系统。
This model is restricted to the Operations Systems to Network Element (Q3) interface.
这个模型描述了适用于SDH网络单元的净负荷配置功能的被管理对象类别及其特性。
This model describes the managed object classes and their properties for the Payload Configuration function as related to SDH Network Elements.
椭球单元通过高斯分布逼近形成各模式类的决策区域，是一种非常适合于模式识别任务的前馈型人工神经网络模型。
Neural Networks with Ellipsoidal Activation Functions closes in upon a decision making region by Gauss distribution for various patterns and is adapted to fault diagnosis well.
提出一类新的网络DEA模型，对带有关联子过程决策单元的有效性进行了评价。
A new type NET-DEA model is proposed to measure the efficiency of decision making units (DMUs) with correlative subsystems.
这个模型描述了适用于性能监视功能的被管理对象类别及其特性，建议G.784给出了与SDH网络单元相关的性能监视功能。
This model describes the managed object classes and their properties for the performance monitoring function, as defined in Recommendation G. 784 and as related to SDH Network Elements.
文中强调多台同种机床的存在，并给出了一个单元构成网络问题的模型。
In this paper, we address the existence of multiple machines for some machine types and present a model for the cell formation problem.
它是设计新的或应用已有的过程模型，利用软件技术将这些过程模型编制成单元模块，在数据库技术、网络技术和实时仿真等技术的支持下，对生产过程进行模拟仿真。
Supported by techniques of database, internet and simulation, process simulation designs new process models or uses the existed ones and then develops the unit modules based on them.
这种器件的结构和功能非常类似于人工神经单元模型，所以非常适于在神经电路和神经网络系统中应用。
This function is exactly what is needed for an artificial neuron model to work and the device is no doubt most suitable to construct neural networks.
这种器件的结构和功能非常类似于人工神经单元模型，所以非常适于在神经电路和神经网络系统中应用。
This function is exactly what is needed for an artificial neuron model to work and the device is no doubt most suitable to construct neural networks.
应用推荐