It showed that the correct classification rate reached 95% in training set including 68 patterns, and the correct prediction rate was about 90% in prediction set including 20 patterns.
结果表明，对学习集中68种化合物的正确分类率达到95%，对其余20种化合物的正确预报率达到90%。
Science requires having a prediction, a hypothesis, about what will happen-based on theory, a set of assumptions.
科学需要对结果有一个预测，或是猜想，这是建立在基于一大堆推断的理论之上。
In 2006 the Land Transport Authority tested a traffic-prediction system built by IBM to set the tolls.
2006年，陆路交通管理局测试了一套由ibm公司制造的用于设置收费额的交通预测系统。
Set up one time door limit prediction model of autoregression of array, study for nonlinearity of stock market this front field make new try a bit.
建立了一个时间序列的门限自回归的预测模型，为股票市场的非线性研究这一前沿领域作了一点新的尝试。
The downside is that off-line experiments can evaluate a narrow set of aspects, primarily about algorithms prediction or recommendation accuracy.
该方法的缺点在于离线实验只能评测一个很狭窄的数据集切面，主要是关于算法预测或者评估的准确性。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
针对民用机场多因素气象预测问题的复杂性，该文构建出一种基于粗糙集的模糊神经网络模型。
Secondly, based on the defined priority principle of Fault Prediction and using the Fault Prediction allowance value set got by weighted algorithm, a sequential graph of FP is designed.
然后在定义了故障预测的优先原则的基础上，利用专家系统加权算法得到的故障预测容许值集合，设计了故障预测的流程图；
This model adopted direct prediction method, so error accumulation effect was avoided. The training data set was real-time updated so that the model was always the newest.
该模式采用直接预报的方法，避免了误差累积效应；对训练集实时更新，以保证模式的不断更新；模式的输入比较简单，便于应用。
We select training sets and test sets in many different software releases and discuss the relation between training set and the prediction accuracy.
通过采集通信软件的不同发布版本的测试历史数据，讨论了训练集数据的选择与预测精度之间的关系。
By the effect analysis of various special processing methods, a set of seismic prediction techniques of malignant leakage such as coherent analysis and frequency spectrum analysis are summarized.
通过多种特殊处理方法效果的分析，总结了一套较为有效的恶性井漏地震预测技术，如相干体分析、频谱分析等。
Based on the analyzing of costs sample of equipment, set up prediction model of economic life of equipment, considering the middle-linear regression method and period value of costs.
通过对设备费用样本的分析，采用了中间线性回归方法和考虑了货币的时间价值，建立了符合缺省数据费用样本的设备经济寿命预测模型。
Recent years, BP model has been applied to atmospheric pollution forecast, a neural network prediction model of atmospheric pollutant concentration is set up.
近年来将BP网络模型应用到大气污染浓度预报中，并建立了大气污染物浓度的神经网络预报模型。
Therefore, author makes use of artificial nerve to set up the prediction models of the carbon content in fly ash and ultimate analyses of coals in running.
为此，本文采用了人工神经网络作为工具建立锅炉运行中飞灰含碳量和煤的元素分析的预测模型。
We deal with original data sets and set up a grey model with grey prediction method.
提出用灰色预测的方法，对基金的走势进行预测。
According to the relationship between precipitation and discharge of groundwater, a model of linear artificial neural network is set and used for dynamic prediction of discharge of groundwater.
根据降水量与地下水流量之间的相关关系，建立线性神经网络模型，并且将其用于地下水流量的动态预测。
The prediction is conducted with the grey catastrophe model through the abrupt date set composed of abnormality times.
根据异常时刻组成的灾变日期集用灰色灾变模型进行预测。
Based on the time series, a model of linear artificial neural network is set and used for dynamic prediction of discharge of groundwater.
根据其时间序列，建立线性神经网络模型，并将其用于地下水流量的动态预测。
Since urban travel times are stochastic and uncertain, a model for addressing urban travel time prediction by using transport information granular computing theory based on rough set was proposed.
由于城市道路交通问题具有不确定性和不精确性，故采用基于粗糙集的交通信息提取计算理论建立城市道路行程时间预测模型。
Through the practice and the study on the ZheGu-Mountain tunnel, having set up the highway-tunnel's construction geology prediction system systematically.
通过鹧鸪山隧道施工地质预报实践与研究，初步建立了公路隧道施工地质预报系统。
It was concluded that an appropriate coating life model and an expert system for life prediction should be set up on the basis of further research of failure mechanism of coatings.
通过机理理论的研究，建立涂层寿命模型及预测专家系统是涂层失效研究的最终结果。
This paper introduce the basic concept and character of rough set theory, and attempt to combine seismic damage prediction, then set up a model of congregated seismic damage prediction.
介绍粗糙集理论的基本概念及特点，尝试将其与震害预测工作联系，建立一种群体震害预测模型。
In this paper, on the basis of fuzzy set theory the classification and the prediction of solar cycles are discussed.
本文根据模糊集合理论，讨论了太阳周的分类和预报。
According to rough set theories, this paper puts forward a conception of the degree of credibility between objects and rules, and attempts to present a related relation prediction method.
本文基于粗糙集理论给出了对象与规则可信度的概念，提出了一种经济系统中相关关系预测法。
Based on the principle of the combination of theory and practice, the theory and practice of gas outburst prediction is combined by rough set theory and DSP technology.
本系统基于理论和实践相结合的原则，通过粗集理论和DSP技术把瓦斯突出预测理论与实践结合起来。
And combining rough set and support vector machine, the mixture prediction model is established based on rough set and support vector machine.
将粗糙集与支持向量机两者结合，并建立了基于粗糙集——支持向量机的混合预测模型。
Application of these methods to prediction of collapse size of expansive soil slope shows that the accuracy of prediction is improved obviously by using this set of discrimination methods.
在膨胀土边坡坍塌规模预测中的应用表明使用这套方法能明显地提高预测的准确性。
Using Intelligent prediction system which is constituted by rough set and support vector machine, this paper studies the low efficiency of project cost prediction.
本文采用粗糙集和支持向量机这些数学方法构成智能预测系统，研究解决工程造价预测效率不高这一难题。
Raw data preprocessing, the size of training data, as well as the size of input vectors have been studied separately, to find out the best parameter set of BP neural network prediction.
本文分别针对数据的预处理、训练数据集大小以及输入向量的大小分别进行了研究，以确定使用BP神经网络预测的一个最佳参数组合。
The method of establishing on-line temperature prediction model, set point model and parameter tracing self-learning model of computerized heat recovery processing control system is introduced.
介绍了余热处理计算机控制系统的在线温度预报模型、设定模型和参数跟踪自学习模型的建立方法。
The method of establishing on-line temperature prediction model, set point model and parameter tracing self-learning model of computerized heat recovery processing control system is introduced.
介绍了余热处理计算机控制系统的在线温度预报模型、设定模型和参数跟踪自学习模型的建立方法。
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