非参数模型

基于GARCH模型和非参数模型的上海股市VaR的比较

Comparison of VaRs of Shanghai Stock Market Based on GARCH Model and Non-parametric Model

基于Bingham塑性模型的基本思想，建立了一种简单的磁流变阻尼器非参数模型。

Based on the basic idea of Bingham plastic model , a non-parametric model of magneto-rheological ( MR ) damper is proposed .

安装MR阻尼器工程结构的非参数模型自适应控制

Model-free learning adaptive semi-active control of structure with MR dampers

应用核密度估计理论构造了单变量多阶非参数模型NP（p）。

In this paper , a kind of nonparametric model based on the kernel density estimation theories is constructed for time series of single variable .

首先对实际生产中的原始数据，经过过失误差剔除及滤波处理后得到一套训练数据和校验数据组成训练样本，然后采用BP神经网络进行训练，得到组分纯度的非参数模型。

First by filter process of practical primal data , the training samples are gained . Then the nonparametric model on component purity is developed by use of BP neural network .

基于此，本文提出时变Copula非参数模型对中外股票市场间的联动性进行科学地定量测度。

This paper presents a nonparametric model of time-varying Copula to test the linkage between China and international stock markets .

结合小波变换的压缩和去噪能力，研究了在FIR模型辨识过程中求得更精简非参数模型的一种方法。

Combining the compression and noise-filted capability of wavelet shift , this paper studies an approach of establishing a more concise non-parameter model in the process of FIR-model identification .

非线性系统的Volterra级数模型是系统的一种非参数模型，为非线性系统的故障诊断提供了一种新颖的方法。

The Volterra series model of nonlinear system is a non-parameter model , which can provide a novel fault diagnosis method for nonlinear system .

并在常用模型的基础研究非参数模型在随机模拟中的应用，本次研究建立了BP网络时序模型，在此基础上探讨了以上三种随机模型在洪水地区组成随机模拟中的适用性。

This paper first researched two routine models in the flood area composition , then in the base of this two modeling and made an inquiry into three stochastic models ' applying in the flood area composition stochastic modeling .

而基于非参数模型的神经网络控制方法和模糊神经网络控制方法，由于其不需要系统的参数模型，表现出了较常规PID控制更好的控制效果。

While , the non-parametric model based Neural Network Control method and Fuzzy Neural Network Control method , because of no requirements of the parametric model of the system , show better control effect compared with conventional PID control in the tele-operated construction robot system .

为此，利用预测误差的历史数据建立误差预测模型，通过对误差的预测来修正基于非参数模型的过程预测输出，从而得到了具有误差预测修正功能的DMC算法。

A DMC with error predicting correction is provided for this reason by establishing an error predicting model with the historical data of prediction error , with which to correct the non-parametric model-based prediction .

动态矩阵控制（DMC）是一种基于非参数模型的预测控制，它以被控对象的实际阶跃响应为基础，适用于渐近稳定的线性对象。

Dynamic Matrix Control ( DMC ) is a new strategy of Predictive Control based on non-parameter model , and it is a synthesis method based on real step response of controlled system and suitable for steady asymptotically linear system .

传统的模型预测控制（MPC）采用脉冲响应的非参数模型作为系统的预测控制模型，计算量大，很难直接应用于实时控制系统。

In traditional model predictive control ( MPC ), non-parameter model based on pulse response is usually adopted as predictive control model , which results in complex computation , so this method is difficult to implement directly in realtime control system .

石油消费及其影响因素：基于非参数模型的研究

Petroleum Consumption and Its Impact Factors : Based on Nonparametric Model

缺失数据下非参数模型均值估计的两个结果

Two Results of the Mean of Non-parametric Model with Missing Data

基于数字滤波的非参数模型直流调速系统

Nonparametric model arithmetic for DC motor system based on digital filtering

神经网络非参数模型控制的稳定性分析

Stability analysis of non-parametric model adaptive control using neural networks

神经网络模糊非参数模型自适应控制及仿真

Fuzzy Non-Parameter Model Adaptive Control Method Based on Neural Networks and Simulations

非参数模型预测控制系统的预测二次稳定性

Predictive Quadratic Stability of Nonparameter Model Based Predictive Control System

门限自回归模型和非参数模型中变点的小波分析

Wavelet Analysis for Change Points in Threshold Autoregressive Models and Nonparametric Models

城市日用水量预测的非参数模型

Nonparametric Multivariate Regression Model of Urban Daily Water Demand

异步机系统非参数模型自适应控制的设计实现

Design and Realization of Nonparametric Model Adaptive Control in AC Induction Motor System

非参数模型辨识在伺服阀控液压马达系统中的应用

Non-Parameter Model Identification of Hydraulic Servo Valve-controlled Motor System

一种径流随机模拟的非参数模型

A Kind of Nonparametric Model for Runoff Stochastic Generation

板材多点成形过程的非参数模型及自适应控制

Non-parametric Model and Adaptive Control for Multi-point Forming Process

可加模型是一种重要的非参数模型。

Additive model is an important nonparametric model .

传统的工业预测控制都是采用输入输出模型，包括参数模型和非参数模型。

Traditional industrial predictive control uses input / output model , including both parameter and non-parametric ones .

将基于紧格式线性化的非参数模型直接自适应预测控制方法应用到直线电机速度和位置控制中。

This paper discusses the change-point problem about the location and scale parameters model based on two-sample U-statistic .

非参数模型自适应控制算法及在投资决策中的应用

The Algorithm of the Nonparametric Model Based Direct Adaptive Predictive Control and Its Application to the Investment Decision

将影响成形精度的诸多因素看作系统扰动，成形过程简化为离散的单输入单输出系统，得到其非参数模型。

The forming process is simplified to a discrete single input single output system and described by a non-parametric model .