层参数预测是油气勘探的重要研究内容。
The reservoir parameter forecast is important for oil-gas exploration.
储层参数预测一直是地震勘探的关键和难点问题。
Prediction of reservoir parameters is always the bottle neck problem and difficulty in seismic survey.
文中所用的方法可为实际气云爆炸场提供参数预测。
The method in this paper can be used to predict parameters of combustible cloud explosion.
提出了一种线谱对参数预测多级矢量量化联合优化算法。
The proposed approach is tested on linear spectrum pair (LSP) parameters of speech signals.
实例证明该方法应用在复杂地层储层参数预测中具有优越性。
The application of an example proves that the method demonstrated its superiority when using in the prediction of reservoir parameters of complex formations.
实例计算表明，时变参数预测模型有望提高模型的预测精度。
The case study showed that the time dependent parameter model has high prediction precision.
提出一种利用非单点模糊系统建模的短波通信频率参数预测模型。
This paper presents a prediction model of frequency parameters of short-wave communication based on non-singleton fuzzy system.
论文对陈明亮提出的客户终身价值评估模型中参数预测方法进行改进。
The papers made an improvement to forecast the parameters of customer lifetime value assess model which has been proposed by Chen Mingliang.
提出通过胶料混炼过程参数预测混炼胶塑性和分散性质量指标的方法。
A method was proposed for predicting the plasticity and dispersion of mix using the parameters obtained in mixing process.
论文对陈明亮提出的客户终身价值评估模型中参数预测方法进行改进。
The Evaluation on Customer Lifetime Value & Rebuilding of Business Management System for Commercial Retail-Banking;
同时，作为可靠性评估的基础性工作，本文提出了贝叶斯参数预测模型。
Moreover, Bayesian forecasting model is proposed as basic research of reliability evaluation.
基于BP人工神经网络的L M算法，建立了磨合磨损的分形参数预测模型。
Based on L-M algorithm of BP artificial neural network, the fractal parametric prediction model of running in and wear was established.
通过“不完整构件模板”、参数预测、积木式“装配”等措施提高了设计效率。
Efficiency is enhanced through the measures of 'incomplete component template', parameters forecast, building block assemble.
储层参数是油层评价的重要依据，储层参数预测在油气勘探开发中具有重要意义。
The reservoir parameter is an important basis of the oil layer appraisal, the reservoir parameter forecast has the vital significance in the oil gas exploration development.
本文以三峡库区常态水质参数时序数据为研究对象，进行水质参数预测建模研究。
This thesis studies on the prediction modeling method of water quality parameters based on normal time-series data in the background of the Three Gorges Reservoir.
基于流动机理的分析建立了塞状流参数预测模型；模型中考虑了液膜的厚度变化。
Based on analysis of flow mechanism, a hydrodynamic model of slug flow in vertical pipes was developed considering the variable thickness of liquid film.
根据流体渗流理论，利用原油产能指示参数预测模型可以对产层进行原油产能预测。
According to the theory of fluid seepage flow, oil-bearing productivity was predicted using the productivity index per meter.
其结论为：通过对岩土性质及BP神经网络的研究，建立了一种新的钻孔间参数预测模型。
The conclusion of this text is: through the study on soil nature and BP neural network , a holing parameter predicts models after setting up.
综合了井间参数预测方法，利用交叉验证的方法，证明了克里格是最理想的地质插值方法。
Integrating the inter-well parameters prediction methods with cross-check method, Kriging interpolation method proved to be the most ideal geological interpolation method.
最后讨论这一领域的发展趋势，指出多参数预测和组合预测在机械故障预报中的重要意义。
Moreover, the trend of machinery fault prediction is discussed. For precise and reliable machinery fault detection, it is essential to use multivariable forecasting modest...
油气储层速度和密度与储层参数的关系对地震资料解释以及储层参数预测等具有重要的意义。
The relations of velocity and density with reservoir parameters are crucial to seismic data interpretation and reservoir parameters prediction.
结论基于神经网络模型的井间参数预测方法，可以为储层精细评价提供高质量的油藏地质模型。
Conclusion The method of parameter predict can provide a high quality oil pool geological model for reservoir fine evaluation.
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。
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.
本文从测试开关井时间设计所需基本参数预测入手，介绍了设计步骤，并通过实例展示设计的具体过程。
Starting with forecasting the fundamental parameter demanding in testing open-shut in time, the paper has introduced design step and concrete process of the design shown through example.
本研究使用一个非常古老的图表模式，即海飞丝的定量参数预测效率的基础上，评估房地产市场的运动。
This study evaluates the movement of the realty market using one of the very old chart patterns namely Head and Shoulders based on quantitative parameter - Predictive Efficiency.
用普通神经网络建立起由工艺参数预测力学性能的质量模型，模型预测结果的5%命中率是0.508。
The quality model whose hit ratio of 5% deviation reach 0.508 is established by applying the technology of basic artificial neural network.
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。
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.
作者在油藏描述中利用地质统计与分形几何学相结合的方法，开发了只有两口井条件下的井间储层参数预测方法。
However. the authors developed a new method available for the prediction on reservoir parameters of only two Wells, applying geostatistics combined with fractional geometry in reservoir description.
运用此项研究得出的一套注水井射孔完井参数预测的理论方法，为提高差油层的吸水能力、减轻油层超破压注水提供了新思路。
This injection well perforation parameter prediction theoretical method provides a new way to improve poor formation's water absorbing capability and mitigate over fracture pressure injection.
主要介绍所研制的利用断层影响带内的一种特殊节理预报隧道掌子面前方隐伏断层的产状、位置和规模的专利技术——断层参数预测法。
The forecast method of fault parameter is proposed to determine the strike, dip, location and scale of fault behind the working face with the distinctive joints in effective zone of fault.
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