PPM is an adaptive statistical data compression technique based on context modeling and prediction.
PPM是自适应统计数据压缩技术，基于上下文建模和预测。
Angle distortion modeling and prediction with computer for heavy plate multi-pass welding are carried out during condenser fabrication for nuclear power station.
对核电凝汽器制造中的大拼板多层焊后的角变形进行了计算机预测。
According to the feature of flexible machining, it be studied that the scheme and key technology of on-line modeling and prediction of machining error based on genetic neural network.
针对柔性加工过程的特征，研究了基于遗传神经网络的加工误差在线建模预报的方案和关键技术。
Because ship rolling is the heaviest motion of a ship in waves, it is important to study ship rolling modeling and prediction in order to improve ship's seaworthiness and wave-resistance.
船舶横摇运动是对船舶航行影响最大的运动，研究船舶横摇运动的建模与预报对于提高船舶适航性、耐波性有重要意义。
A method of neural network prediction based on wavelet decomposition is proposed by combining the theory of wavelet analysis with the fundamental principle of neural network modeling and prediction.
将小波分析理论与神经网络建模预测基本原理相结合，提出了基于小波分解的神经网络预测方法。
This paper discussed the current status of the study on classification, modeling and prediction of forest fuel, and presented briefly the weakness and development tendency of the study on forest fuel.
文中评述了森林可燃物分类、可燃物模型及其预测研究的现状，并简述了我国森林可燃物研究存在的问题与发展趋势。
This paper mainly focuses on the prediction problem by the application of hybrid and ensemble thinking into the modeling base on SVM.
本文基于混合学习和集成学习的思想，将这两种方法应用于支持向量机建模技术中，主要解决预测分析问题。
Based on the basic principle and modeling method of partial least-square regression (PLSR), establishing the mathematical model for parameter prediction of the steam turbine units.
根据偏最小二乘回归的基本原理和建模的基本思路，建立数学模型并将其应用于电厂机组的参数预测中。
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。
The grey modeling and the idea of pre-control in grey prediction control theory can well remedy the defects of exact linearization and after-control in linear optimal control theory.
灰色预测控制理论中灰色建模和“超前控制”的思想较好地弥补了线性最优控制理论中精确线性化和“事后控制”的不足。
In prediction and modeling, most the responses were found to be best trained using Gaussian input membership functions with a linear output function.
在预测和建模中，通过大量研究发现，最好使用高斯输入函数和线性输出函数。
Reviewing grey modeling methods in environment prediction, GAM and GM (1, 1) were discussed. Results show that each has his own strong pionts.
通过对环境预测中灰色建模方法的回顾，说明gam和GM(1,1)模型各有所长，最重要的是建模手段的丰富。
Abstract: : By modeling and neural network, we built the prediction system of genetic neural network.
摘要：通过神经网络的建模，建立的遗传神经网络的预测系统。
This paper discusses mainly the principal of Grey Theory and the method of relational grade analyses, Grey clustering, Grey prediction and Grey modeling.
简要介绍了灰色理论的基本原理及灰关联分析、灰色聚类、灰色预测、灰色建模四种基本方法。
A new method of particle state prediction that based on motion-functional modeling can maintain robustness and accuracy is introduced in this article.
针对这一问题，本文中提出一种通过运动函数化建模并利用模型进行粒子状态预测，以保证跟踪准确性与鲁棒性的方法。
Modeling estimates and real application in an oilfield show that it can enhance reservoir prediction accuracy and has better applicability.
经理论模型的计算及油田区的实际应用表明：该方法不仅能提高储层预测的精度，而且具有更好的适用性。
This paper discusses methods for prediction of modeling by neural networks using averaging technique, and their practical applications in mineral industry are illustrated with examples.
论述了采用平均技术的网络预测建模方法，并用一选矿实例来说明其在矿业中的具体应用。
This article mainly introduces the principle of the prediction for auto regression modeling and recommends the AR arithmetic of prediction for ship pitching motion in detail.
介绍了自回归时间序列分析法的建模预报原理，并给出了船舶纵摇运动预报应用实例。
When applied to cracker modeling, MEP-GRNN shows advantage for non-linear molding over RBF-PLS approach. It has good prediction accuracy and stability.
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。
We build models and make predictions for the currency exchange rate, the prediction errors of adaptive modeling method decrease.
对外汇汇率问题进行的模型构造和预测的结果表明，该方法的预测误差明显减小。
The Support Vector Regression(SVR)is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems.
用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。
Prediction, modeling and optimization were also done using ANFIS and Fuzzy Multi-Objective optimization.
同时也运用ANFIS和模糊多目标优化进行预测、建模和优化。
At the present time, climate modeling and climate prediction are the focal points and difficulty with research of scientists all over the world.
目前，气候模拟和气候预测成为世界各国科学家研究的焦点和难点问题。
Simulation result shows that GMDH method can be applied to nonlinear system modeling successfully and has such advantages as higher prediction precision and good calculation stability, etc.
仿真结果表明，用GMDH方法建立非线性系统模型，具有预测精度高、计算稳定性好等优点。
The prediction result demonstrates that SVM is more practicable and effective in the modeling of color matching for Textile Dyeing in comparison with numerical analysis and BPNN methods.
预测结果表明，在对织物染色配色建模过程中SVM比基于数值分析的计算机配色方法以及BP神经网络模型更实用，更有效。
The model prediction output and the actual output's comparison result confirmed the validity of the ARX modeling in the fluid position control sys…
模型的预测输出和实际输出的比较结果证实了ARX建模在液位控制系统中的有效性。
As the amount of data grows exponentially, there is a parallel growth in the demand for tools and methods in data management, visualization, integration, analysis, modeling, and prediction.
随着数据量以指数方式增长，在数据管理、可视化、整合、分析、建模和预测的工具和方法的需求上有一个类似的增长。
The improving neural network subsection prediction model can take advantage of simple network structure, fast convergence rate and strong generalization capability, and get a good modeling effect.
尤其是改进的神经网络分段预测模型具有网络结构简化、收敛速度快，泛化能力强的特点，取得很好的拟合精度和预测效果。
The modeling procedure of emulation based on FIGPM is presented, and the prediction result is compared with BP neural networks. It is proved that IGPM has good practicability and validity.
仿真研究给出了基于新息灰理论的工业实例建模过程和故障预测结果，并与BP神经网络方法的计算结果进行比较，验证了新息灰预测方法的有效性与实用性。
Dynamic prediction and calculation could be established with forward modeling and formation permeability and pressure could be derived with backward modeling.
该方法的正演模拟可以实现井漏动态的预测和计算，反演模拟可以实现地层渗透率和地层压力的求取。
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