| 1. | Chapter 6 combines the genetic programming with aqmc optimization method to solve the prediction problems
第6章结合遗传程序设计方法和自适应拟蒙特卡罗优化方法用于预测问题。 |
| 2. | The prediction problem is to predict future observation values with the past known ones . there are mainly two questions to be solve for a predictable variable
对于给定的一个可预测变量，需要解决两个问题：一是求出最优预测，二是找出其存在最优预测的充要条件 |
| 3. | Firstly the prediction problem is tranformed to a machine learning problem , then samples are formed by sliding windows on alarm sequence to train svm , thus the prediction model for a given alarm is established
首先把告警预测问题转化成机器学习问题，然后通过在告警序列上滑动窗口形成样本去训练支持向量机，从而建立对某种特定告警的预测模型。 |
| 4. | Unified self - tuning wiener state estimators are presented , which can handle the state filtering , smoothing and prediction problems in a unified framework , and their applications to the self - tuning tracking filters are given
提出了统一的自校正wiener状态估值器，它可统一处理系统状态的滤波、平滑和预报问题，并给出了在自校正跟踪滤波器中的应用。 |
| 5. | In the rls - td ( t ) learning algorithm , the eligibility traces mechanism and the recursive least squares methods are combined together so that better convergence properties can be obtained in learning prediction problems . 2
Rls - td ( )学习算法同时结合了递推最小二乘参数估计方法和适合度轨迹( eligibilitytraces )机制，从而能够获得比已有算法更好的收敛性能。 |
| 6. | Statistical learning theory is a newly developed theory for studying the statistical estimation and prediction problem based on small number of samples . it studies the nature of machine learning , so more and more people are interested in it
统计学习理论是在研究小样本统计估计和预测的过程中发展起来的一种新兴理论，它试图从更本质上来研究机器学习问题，因此引起了人们越来越多的重视。 |
| 7. | Developing the pm - rbf algorithm by using neural network which adapts to the prediction of the heat burden . by simulating experiment , the algorithm has favorable precision and speed of prediction , solving the prediction problem of the heating system and providing the basis for optimization and dispatching of the system
利用神经网络开发了适用于供热负荷预测的pm - rbf算法，通过仿真得出，该算法具有良好的预测精度和速度，能够较好地解决我市集中供热负荷的预测问题，并为系统的总体优化调度提供了基础。 |
| 8. | As a result , we are not only unable to obtain the optimal prediction in general cases but incapable of finding the necessary and sufficient conditions as well . considering linear and o - linear predictable variables , the author investigates optimal prediction problems by the trace of matrix . a few necessary conditions are derived and accordingly optimal linear and optimal o - linear unbiased predictors , which are unique with probabitity one , are obtained respectively by the author
对于一类线性可预测变量和-线性可预测变量，作者在矩阵迹意义下研究了一般增长曲线模型中最优预测问题，找到了其存在最优预测的几个必要条件，并在给定的条件下分别得到了最优线性无偏预测和最优-线性无偏预测，而且还证明了它们在几乎处处意义下的唯一性 |
| 9. | In term of the prediction problem , the fourth chapter discusses its superiority of the optimal and classical predictors based on the ridge estimation , and gives an necessary and sufficient condition of comparison of its superiority under the condition of criterion by some properties of partial ordering of matrix
借助矩阵中l ? wner偏序的一些性质，获得在此判别准则下判别两类预测量最优性的充要条件。为研究基于有偏估计关于两类预测量的最优性判别问题提供了一种方法和思路。 |
| 10. | One stated that a government body had attacked the prediction problem " with every resource at their command " without obtaining satisfactory results , and another that " intensive investigations " " in california and elsewhere for some forty years " had not led to any progress towards prediction
其中一位声称政府的一个机构以‘他们能够调动的全部资源’对地震预测问题做了努力，但是未能获得令人满意的结果；另一位‘在加利福尼亚和其它地方对地震预测问题进行了约四十年深入的调查’ ，但也未能朝地震预测方向实现任何进展。 ” |
