试验表明：用此方法选出来的非线性预报因子和建立的方程比线性的好。
The experiments show both the nonlinear predictors and corresponding equation based on this method are better than those linear equations.
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。
So it is important to study ship movement nonlinear prediction and anti-roll control method.
本文根据最优化方法原理，提出了选择非线性最优预报因子和建立非线性预报方程的办法。
In this paper, a method to select some nonlinear predictors and to build a nonlinear forecasting equation was proposed based on optimization principles.
用权重方程产生的突变的高阶非线性预报方程，其y与X的相关系数比1阶线性方程提高5%左右。
The Y-X correlation coefficient of a high order non - linear equation through mutation was higher than that of a simple linear equation by about 5 percent.
为了减少气候灾害造成的损失，提高灾害性气候的预测水平，用非线性预报原理和方法，建立了气候灾害的数学预测模型。
To reduce the effect of climatic disaster and improve it's forecast level, the nonlinear forecast model of the climatic disaster was set up.
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。
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.
基于该网络的时间序列预测模型可以实现性能优越的非线性预报器，将其应用于非线性系统的故障预报能够取得良好的效果。
The LMBP neural network can predict nonlinear time series very well and the new method is effective for the fault prediction of nonlinear systems.
唯有通过船模允许甲板入水的强迫横摇实验才能获得真实的非线性横摇模型，据此才能进行可靠的巨幅横摇响应预报。
Through the forced rolling experiments of ship model with deck into water, the realistic nonlinear roll model can be obtained, and the reliable roll response with large amplitude can be predicted.
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。
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.
利用非线性逐步回归方法作台风活动趋势的预报。
The nonlinear stepwise regression method is used to make typhoon activity tendency forecast.
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。
It differs from traditional time-sequence analysis methods in which nonlinear chaotic time-sequence prediction is used.
又小波网络较神经网络有更多的优点，通过比较，证实基于小波网络的非线性组合预测方法用于径流预报中更能提高预测的精度。
Compare to them, the result was that the nonlinear combinatorial forecasting method applying to the runoff forecasting based on the wavelet network can improve the forecast precision.
探讨了采用神经网络校准仪器非线性的方法，并用递推预报误差算法训练神经网络。
The method of calibrating the nonlinearity of the instrument by using nervous network is investigated. The nervous network is trained by recurrence forecast error algorithm.
本文综合介绍天气预报问题中的非线性计算不稳定的含义、计算现象和处理办法。
In this paper, the concept, phenomena and handling methods of nonlinear computational instability in the problems of numerical weather prediction are discussed.
依据BP神经网络系统能够利用人工智能的方法，准确分析多变量非线性系统的特性，采用多层向前BP神经网络系统建立起了橡胶老化预报模型。
Based on characteristics of BP neural network which can precisely analyze multi-variable nonlinear systems using artificial intelligence, in this paper, we proposed model for predicting rubber aging.
本文将讨论综合运用非线性回归模型和时间序列分析的方法进行变形预报。
This article demonstrates that deformation forecast will be performed by a comprehensive method of non linear regression model combined with time series analysis.
即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的准确性。
We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.
由于BP神经网络可以实现任意线性或非线性的函数映射，所以可以满足终点氧含量的预报要求。
Because the BP neural network may realize the free linearity or the non-linear function mapping, it may satisfy the request of the forecast for the endpoint oxygen content.
特别针对模型未知的非线性系统，研究了时间序列分析和神经网络相结合的故障预报方法。
The methods, which combine time series analysis and neural networks, are especially studied and applied in the model-unknown nonlinear system.
该模型用于渣油裂解建模时，其预报精度和稳定性比r BF -PLS等方法均有所提高，表现了MEP - GRNN为非线性过程建模的优势。
When applied to cracker modeling, MEP-GRNN shows advantage for non-linear molding over RBF-PLS approach. It has good prediction accuracy and stability.
本文提出一种计算较简便的非线性的概率预报方法——条件概率法。
In this paper, a simple and convenient method of nonlinear probability forecasts by arithmetic calculation is presented.
提出了模糊神经网络用于SARS疾病疫情非线性系统建模和预报的思想，该方法可以推广到各种流行性疾病的预防和控制中。
Put forward one idea of fuzzy neural networks using to distinguish and forecast non-linearity systems of SARS epidemic situation. The method can generalize to defend and control on apiece epidemic.
本文给出了一个预报波浪诱导的船舶垂向运动和结构总体动响应的非线性时域水弹性力学微分分析法。
This paper presents a nonlinear hydroelastic differential analysis method of wave-induced vertical motions and structural responses of ships.
将非线性研究中一些混沌判定、预报的方法加以深化和改进后，应用到电力系统中，本文得到了下述的初步结果。
Some methods of chaos detection and prediction are improved, and are used to power systems. Then the following results are gotten.
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。
The nonlinear multiple spline progressive regression model is used in the medium-range prediction of sununer harvest.
模糊模型用于描述对象的非线性动态特性，通过将模糊模型的输出反馈回来作为模型输入，从而构成了模糊多步预报器。
T_S fuzzy model is used to approximate the dynamics of nonlinear processes. By feeding the output of the fuzzy model as the model input in a cascade way, a multi_step fuzzy predictor is derived.
实例计算与比较结果表明，GRNN模型计算快、精度高，是进行多测点非线性变形监测预报的有效工具。
Example with survey data and compare with BP both showed that the GRNN model makes an effective way to forecast multi-point deformation with rapid calculation and high accuracy.
在用AR、ARMA等线性模式对气候序列进行拟合和预报时，由于气候序列中存在着非线性变化，所以拟合和预报效果往往不太理想。
Using linear regressive models (e. g. AR, ARMA model) to fit and predict the climatic time series, the results are not sufficiently good because there exist nonlinear variations in the time series.
推导了基于远程预报辨识的非线性广义预测控制算法。
A nonlinear generalized predictive control algorithm based on a Hammerstein model with long range predictive identification is presented.
推导了基于远程预报辨识的非线性广义预测控制算法。
A nonlinear generalized predictive control algorithm based on a Hammerstein model with long range predictive identification is presented.
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