器的例句大全

Although for financial time series forecasting methods, as a result of neural network function as a universal approximator of arbitrary precision can be any non-linear function approximation and dynamic system, is a highly non-linear a powerful tool for object modeling.

虽然用于金融时间序列的预测方法很多，但由于神经网络作为一种通用函数逼近器可以以任意精度近似任意的非线性函数和动态系统，是高度非线性对象建模的有力工具。

The overview file is displayed when the pattern applier invokes the Show Pattern Documentation command for the pattern in the Pattern explorer or the Apply Pattern wizard.

当模式应用者在模式浏览器或应用模式向导中触发Show Pattern Documentation命令时，概览文件被显示出来。

The primary use of the zigzag machine is to applique lace, attach elastic, and provide a decorative finish for the edges or tricot knits. The Estimation for Yarn Consumption Ratio in the Technological Design of Weft knitted Reversible Jacquard Fabric

这种机器主要是用来装蕾丝花边、缝松紧带或给精编织物的边提供一个装饰的效果。纬编双面提花织物工艺设计中的用纱比估算

Form or weave into a braid or braids. The primary use of the zigzag machine is to applique lace, attach elastic, and provide a decorative finish for the edges or tricot knits.

形成或纺织成编织物。这种机器主要是用来装蕾丝花边、缝松紧带或给精编织物的边提供一个装饰的效果。

Quarter window applique/ air exhauster

三角窗缝饰/空气排尘器

Such concept lattices are encoded by bidirectional associative memories as apposed to complex lattices building algorithms.

这样概念格由双向联想记忆存储器进行编码以区别于过去复杂概念格建立算法。

The reason is that the shortest dependency path has noise interference brought by the appositive dependency relation. The noise information not only increases the complexity of the syntax tree representation, but also hampers the recognition and judgment of a classifier.

原因是最短依存路径上存在同位语依存关系带来的噪音干扰，这种噪音信息不仅增加了句法树表示的复杂性，而且会妨碍分类器的识别和判断。

Reduce the number of folding paper, adjust the machinery, try adding an impressing device on the glue machinery, and I'll apprize you whether it's feasible in early May.

减少折叠时的张数，调整机器，试着在过胶机上增加一个压痕的装置，并在五月初告知是否可行。

The paper studies electron nonlinear steady motion equation in free electron lasers with axial magnetic field by the perturbed appro?

本文用扰动方法，逐级求解了带导引场圆极化自由电子激光器的电子非线性稳态运动方程。

Approximate Analysis of Limited Buffer in Packet-Voice Multiplexer Based on Flow Fluid Model

基于流体流模型的网络话音复用器有限缓冲的近似分析

Approximate Analysis Algorithm for the Double Server in the Asynchronous Dispatch Mechanism of Polling

双服务器异步控制策略轮询系统性能的近似算法分析

The RBF Network with the Green function as the active function is a universal approximator in that it can approximate arbitrarily well any multivariate continuous function. It has the potential of dealing with the nonlinear relationship and can forecast the calorific value of coal quickly and exactly.

以格林函数为激活函数的RBF网络是通用逼近器，它可以逼近任意多元连续函数，具有处理非线性关系的强大潜能，可以快速、准确地预测煤发热量。

Such a four-layer FNN constitutes a universal approximator of fuzzy valued function. That is, each continuous fuzzy valued function defined on any compact set of Euclidean space can be approximated by the FNN to any degree of accuracy.

该类网络构成了模糊值函数的一类泛逼近器，即在欧氏空间的任何紧集上，任意连续模糊值函数能被这类FNN逼近到任意精度。

Considering there are uncertainties in the system's model, fuzzy logic is adopted as an approximator to identify the uncertainties. Using Lyapunov law, we derive the sliding-mode control law and the related parameters adaptive law of fuzzy approximator.

同时考虑到系统模型中存在的不确定项，利用模糊逻辑的逼近功能进行估计，文中采用Lyapunov方法求取了控制器的控制律以及模糊逼近的有关参数的自适应律。

Estimated states are input to the fault approximator whose outputs are estimated fault.

然后利用另一个自适应RBF神经网络作为故障估计器，其输入是系统的估计状态（而不是系统状态），其输出为系统所发生的故障模型。

This paper presents that FCP network model and improved T-S model used in the disquisition are universal approximator, with the latter proved.

本文指出文中用到的FCP网络模型和改进T-S模型为通用逼近器，同时给出后者的证明。

An B spline network is used as function approximator to observing thrust ripples to improve the compensation precision.

采用B样条神经网络作为函数逼近器来实现对由端部效应等引起推力波动的观测，以提高补偿的精度。

Based on a single approximator, an adaptive fuzzy decentralized dynamic sur-face controller is proposed.

提出了一种基于单逼近器的自适应模糊分散动态面控制方法。

Considering discrete and successive state space separately, a entropy based reinforcement learning algorithm and an auto-generating neural network function approximator method for reinforcement learning are researched.

分别针对离散化的状态空间和连续状态空间的压缩问题，提出了基于信息熵的强化学习算法和基于自主生成神经网络函数逼近器的强化学习算法。

A New Type Fuzzy Neural Network Function Approximator

一种新型模糊神经网络函数逼近器