| 1. | Wavelet network - based non - linear economic time series prediction model
基于小波网络的非线性经济时序预测模型 |
| 2. | Foundation of black body furnace temperature time series prediction model based on bpnn
神经网络的黑体炉温度时序预测模型的建立 |
| 3. | Time series prediction for deformation of surrounding rocks in soft rock bolt - grouting roadway
软岩锚注巷道围岩变形量的时序预测 |
| 4. | Study on time sequence prediction method of the deformation of surrounding rock in soft rock roadway
软岩巷道围岩变形时序预测方法的研究 |
| 5. | Time series forecasting models of food - grain consumption per capita in china were scanned and selected by using spss , and were built based on the correlative relationship between quantity of consumption and time
利用粮食消费量与时间之间的相关关系，采用spss程序包进行筛选，建立我国人均食用粮食消费的时序预测模型。 |
| 6. | We design a model based on bp neural network with a smoothing factor to predict the market share of the enterprise product . the result of experiment shows that the forecasting precision of this model is higher than the classical model
本文提出了利用平滑bp神经网络模型进行商品市场占有率时序预测的方案，并通过实验证明：这种模型比一般的bp神经网络模型预测精度稍高。 |
| 7. | Research results and statistical indexes indicated that the construction of models were successful , and the forecasting within the data obtained was relatively precise , whether the result of forecasting for the future was reliable or not , however , much depended on the influence of many external factors such as consumers taste , grain price as well as test of the time and reality
研究结果表明，所建立的三个时序预测模型的拟合度等统计指标高度显著，运用所建模型对所获资料进行的内推预测比较准确，但外推预测结果因影响因素多，其准确性有待时间和实际的检验。 |
| 8. | Abstract : a simple scheme of establishing bilinear time series model ( bm ) is presented for predicting atmospheric co2 concentration . the example shows that the scheme is practical and universal , which has major theoretic value and wide - ranging application in prediction of various nonlinear time series
文摘:提出了用双线性模型预测大气co2浓度序列的一套简便方案.实例计算结果表明,该方案具有实用性和通用性,在各种非线性时序预测中具有重要的理论意义和广泛的应用价值 |
| 9. | Based on selective learning of data mining and analysis of characteristics of data or information in rock mechanics and engineering , some data mining algorithm models are applied to analysis problems of rock engineering and the research is combined with practical engineering projects . relevance analysis to slope rock rheological test , rock mass quality assessment of dam foundation rock mass and displacement time series forecasting analysis to underground opening are performed by using data mining technique in this paper
本文在较全面的探讨现有数据挖掘技术以及分析了岩体工程有关数据和信息特点基础上，结合具体工程问题，基于数据挖掘技术进行了边坡岩体流变试验成果的相关性分析、坝基岩体的岩体质量评价分级研究和地下洞室监测位移序列时序预测分析。 |
