So it is important to study ship movement nonlinear prediction and anti-roll control method.
因此研究有关船舶运动的非线性预报与减摇控制方法具有非常重要的意义。
Furthermore, on the basis of the improvement on BP algorithm and the controller's structure, this paper adds a nonlinear prediction model to solve the time-delay problem.
另外，在对BP算法和控制器结构改进的基础上，加入了非线性预测模型，来解决热网的大滞后问题。
Based on nonlinear prediction ideas of reconstructing phase space, this paper presents a time delay BP neural network model, whose generalization is improved utilizing Bayes' regularization.
基于相空间重构的非线性预报思想，建立一个时滞的BP神经网络模型，采用贝叶斯正则化方法提高BP网络的泛化能力。
At the same time, the nonlinear mapping property and high parallel process ability of ANN make it suitable to be applied to establish nonlinear prediction model to perform parameter prediction.
同时，神经网络所具有的非线性变换特性和高度的并行运算能力使得其适合建立非线性预测模型进行参数预测。
This paper discusses the prediction of the drill stem torque and bit forward direction in an offshore horizontal well by nonlinear FEM.
探讨了非线性有限元在预测水平井钻进中的钻柱扭矩及钻头前进方向的应用。
With the nonlinear mapping ability of neural network, this method can give relatively excellent prediction to target.
该方法利用了神经网络的非线性映射能力，能够较好地对目标进行预测。
In order to enter into the ideal trajectory with minimal energy, the nonlinear thrust vector control and the prediction guidance are adopted in the missile guidance control system.
为使飞行器能在主动段很快地进入到理想弹道上，系统采用了非线性的推力向量控制及预测制导方法。
How to identify chaos is the foundation of analysis, prediction and control of nonlinear time series.
识别混沌是对非线性时间序列进行分析、预测、控制的基础。
Because stock forecasting is a uncertain, nonlinear and nonstationary time series problem, it is difficult to achieve a satisfying prediction effect by traditional methods.
由于股票预测是不确定、非线性、非平稳的时间序列问题，传统的方法往往难以取得满意的预测效果。
This paper presents an adaptive fault prediction method based on strong tracking filter, which can predict faults in a class of nonlinear time varying systems.
本文提出了一种基于强跟踪滤波器的自适应故障预报方法，能够对一类带时变参数的非线性系统进行故障预报。
In this paper, using neuron network models of nonlinear multidimensional time series prediction, neuron network predictors for the oil production and water production of oil fields were constructed.
从信息论角度出发，利用神经网络非线性时间序列预测模型，构造了油田产油量、产水量的多维时间序列神经网络预测器。
The aim of the study is to setup dynamical prediction model of complicated mechanism nonlinear motive parameters.
研究目的是建立机构复杂非线性运动参数的动态预测模型。
Inspired by the idea of combining models to improve prediction accuracy and robustness, a new method for nonlinear soft sensing modeling of chemical processes is proposed.
根据几个模型相加可提高模型的预测精度及鲁棒性的思想，提出了一种非线性软测量建模的新方法。
It differs from traditional time-sequence analysis methods in which nonlinear chaotic time-sequence prediction is used.
采用非线性混沌时间序列预报，不同于传统的时间序列分析方法。
Presented in this paper is a new signal processing method which is based on a nonlinear local prediction model (NLLP) and applied to speech coding.
提出了一种新的基于非线性局部预测模式(NLLP)的信号处理方法，并将其应用于话音编码中。
A scheme of model reference adaptive inverse control based on single-step prediction is proposed for the nonlinear system.
针对非线性系统，提出一种基于单步预测的模型参考自适应逆控制方案。
Then, We creatively make use of the nonlinear reflection ability and association learning ability of artificial neural network, and propose a general model of the stock market prediction.
然后运用神经网络模型的非线性映射能力和学习联想能力，提出了证券市场预测的通用模型。
The research can be generalized to any nonlinear dynamical system and gives a new approach for monitoring condition, fault diagnosis and prediction online.
该研究为非线性运动系统的在线监测、故障诊断和状态预测开辟了有效途径。
Based on specific features of the neural network, this paper is concerned with its application to prediction of nonlinear time sequence.
针对神经网络的特点，探讨了神经网络对非线性时间序列预测的应用。
The nonlinear multiple spline progressive regression model is used in the medium-range prediction of sununer harvest.
在夏收期间的中期预报中，使用了非线性多元样条函数回归预报模型。
Compared with the commonly used linearized model, the nonlinear Park model guarantees the nonnegative input data in grey prediction control, simplifies the prediction algorithm.
与采用线性化模型相比，采用非线性派克模型可保证灰色预测控制输入数据的非负性，简化预测算法。
Wavelet network based nonlinear time series prediction model is submitted, and nonlinear time series prediction and its application in fault prediction are discussed in this paper.
本文提出了基于小波网络的非线性时间序列预报模型，探讨了非线性时间序列预报在故障预报中的应用。
Prediction and evaluation of atmosphere environment quality is a typical, multivariate and nonlinear problem.
大气环境质量的预测和评价是一个曲型的多变量和非线性问题。
Theses nonlinear information can reveal the regularity for the annual flow time series and advance the prediction level.
这些非线性信息的提取，将进一步揭示径流时间序列的变化规律，并将对提高预测水平产生影响。
So with the wide I/O linearization method of nonlinear reverse function, the generalized prediction control algorithm with dead area nonlinear compensation is suggested.
因此我们针对死区非线性特性，采用非线性逆函数的全局I/O线性化方法，提出了具有非线性补偿的广义预测控制算法。
This paper develops a novel multilayer neural networks based on adaptive prediction technique for a class of nonlinear dynamical systems, and the prediction mechanism is analyzed .
针对一类非线性动态系统，提出了一种新的基于多层神经网络的自适应预测器，并对基于神经网络的预测机理进行了分析。
The recursive neural network based nonlinear approaching ARMA model is adopted for short-term power load prediction in this paper.
本文用递归神经网络逼近非线性ARMA模型预测电力短期负荷。
A new approach to fault diagnosis of nonlinear systems, which USES multistep prediction of time series based on neural network, is presented in this paper.
提出一种新的基于神经网络多步时序预测的非线性系统故障诊断方法。
However, most of the traditional prediction models are linear, which are inappropriate for nonlinear fitting. Thus, it's an urgent need to study new models for infectious diseases forecasting.
而传统的传染病预测模型大多以线性模型为主，难以进行理想的非线性拟和，故迫切需要建立新的预测模型来开展科学预测研究。
However, most of the traditional prediction models are linear, which are inappropriate for nonlinear fitting. Thus, it's an urgent need to study new models for infectious diseases forecasting.
而传统的传染病预测模型大多以线性模型为主，难以进行理想的非线性拟和，故迫切需要建立新的预测模型来开展科学预测研究。
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