然后基于支持向量机进行分类建模和预测。
Then, we realize classification modeling and forecasting test based on SVM.
然后进行基于支持向量机的分类建模和预测。
Then, classification modeling and forecasting test based on SVM are put in practice.
然后基于支持向量机进行分类建模和预测过程。
Then, we implement classification modeling and forecast based on SVM.
PPM是自适应统计数据压缩技术，基于上下文建模和预测。
PPM is an adaptive statistical data compression technique based on context modeling and prediction.
这个例子涉及在过程需求规划中使用统计建模和预测方法的。
This example involved embedding statistical modeling and forecasting methods within the demand planning part of the process.
越加复杂的网络行为特征给网络流量建模和预测带来了新的挑战。
The increasingly complex behavioral characteristic of the network has brought new challenges to the network traffic modeling and forecasting.
随着神经网络研究的深入，一些学者也将其用于网络流量的建模和预测。
With the deepening of research in neural network, some scholars also utilize neural network for traffic modeling and forecasting.
利用BP网络以及RBF网络两种方法分别进行动态误差的建模和预测。
Two kinds of methods, BP network and RBF network, were used to model and predict for the Dynamic Error.
基于BP、R BF神经网络模型对实验系统的动态误差进行建模和预测。
Based on BP and RBF neural network model, the dynamic error of experiment was modeled and forecasted.
本文的研究工作主要着眼于利用神经网络模型对藻类水华进行建模和预测。
This paper focuses on the modeling and forecasting algal blooms using neural networks.
本文的研究工作主要着眼于利用神经网络模型对藻类水华进行建模和预测。
The Research on the System of Observing and Predicting of the Harmful Algal Blooms;
利用BP神经网络对此样本的总胆固醇、血糖、血红蛋白进行了建模和预测。
BP artificial neural network was used to establish the calibration model of subjects' total cholesterol, glucose and hemoglobin values against dynamic spectrum data.
提取出的成分具有线性无关的特点，对日负荷有较好的解释能力，且利于建模和预测。
The abstracted components, having the property of linearly independence, can be used to explain the daily load better and are more favorable for modeling and forecasting.
为此，本文在深入研究核动力装置特性的基础上，对其建模和预测控制方法进行了研究。
Therefore, in the basis of studying deeply characteristic of the integrated nuclear power plant, modeling and predictive control of the integrated nuclear-powered system are researched in this paper.
提取出的成分具有线性无关的特点，对地下水动态变化有较好的解释能力，利于建模和预测。
The abstracted components, having the property of linearly independence, can explain the groundwater dynamic characteristics better and are more favorable for modeling and forecasting.
应用灰色系统理论对试验结果进行灰色建模和预测，达到了指导试验和提高试验精度的目的。
The test results were modeled and forecasted by applying. the Grey System Theory for guiding the test process and improving test precision.
基于可靠性预测这一特性，本文采用支持向量机的一种新模型——加权支持向量机对系统可靠性进行建模和预测。
Based on the very characteristic of reliability prediction, the papers used a new SVM model called Weighted SVM (WSVM) to model and predict the system reliability.
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。
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.
本文运用模糊神经网络原理，采用学习结合型FNN方法，针对两种不同材料梁的大变形进行了网络建模和预测的数值仿真。
Principles of fuzzy neural network and FNN method are adopted for the numerical simulation of network modeling and forecasting of beams with finite deformation of two different materials.
复杂网络理论和建模上的进展，以及新的数据的获得，将使得人类可以在从未想见过的领域获得货真价实的预测能力。
Advances in complex networks theory and modeling, along with access to new data, will enable humans to achieve true predictive power in areas never before imagined.
在开发阶段，您将分析信息，以进行预测建模和作出基于事实的决策。
During development stages, you analyze information for predictive modeling and fact-based decisions.
针对预测试概率为5%和50%的不同情况进行了性能建模。
Performance was modelled for scenarios with pretest probabilities of 5% and 50%.
人们按照task任务表现和感情状态来研究打扰的消极影响，甚至创建模型来预测打扰的代价。
People have studied the negative effects of interruptions in terms of task performance and emotional state, and have even created models to predict the cost of interruptions.
建模需要的数据较少，对数据的分布无特殊要求，方法和计算简单，实用价值大，是地面水质预测预报的一种有效方法。
It is an effective method to forecast ground water quality, which needs only fewer data and no special requirements for their distribution as well as easily calculates.
机器教学使用复杂的数学运算来对真实学生建模，通过预测其学习行为，以设计最优的个人化课程和教学大纲。
Machine teaching USES sophisticated mathematics to allow researchers to model actual human students and devise the best possible lessons for teaching them.
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。
This paper mainly focuses on the prediction problem by the application of hybrid and ensemble thinking into the modeling base on SVM.
可能需要进行散热，结构和机械完整性建模与分析，以便预测和优化系统性能。
May be required to perform thermal, structural and mechanical integrity modeling and analysis to predict and optimize the system performance.
应用该种方法将露头知识库用于油田地质建模有助于提高井间储层预测的精度和准确性。
It is proved that the application of outcrop database to oil reservoir modeling is successful. This method can improve the prediction accuracy of inter-well reservoir.
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.
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.
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