With the advantage of great amount storage of database warehouse , we use algorithms of regression analysis , gray prediction and neural network to organize and compute various data in telecom enterprises , so that help the predictors to make decisions 利用数据仓库中存储的庞大信息，通过回归分析、指数平滑、灰色预测以及神经网络组合预测算法对电信行业各种数据信息进行合理的组织和预测计算，供决策者参考。
Subsequently , i will establish the simple forecast model ( sfm ) to solve the stock price forecast problem . then i seriate the decision function in the progress of svm , accordingly the simple forecast arithmetic ( sfa ) , which is used to solved the sfm , will be developed 随后对股票预测问题建立了简单预测模型,并将支持向量分类算法求解过程中的决策函数连续化,从而建立了求解简单预测模型的简单预测算法。
Using dead reckoning would lead to frequent state correction updates , increasing both network traffic and visible jolts ( because a quick position jump is sometimes needed when the blended replicated path differs to much from the original path ) 使用导航预测算法可能会导致非常频繁地发送状态校正更新包，网络流量和视觉上的震动都会大大增加(因为当混合后的复制体路径与原始路径相差较大时，有时候不得不做一些迅速的位置跳转) 。
Dynamic trajectory prediction is the base of dynamic information prompt , the dynamic trajectory prediction algorithm based on sliding windows we raise here is a memory limited algorithm , it can satisfy requirements of wearable computer navigation in reliability and real time 动态轨迹预测是实现可穿戴计算机动态信息提示的基础,本文提出了基于滑动窗口的动态轨迹预测算法属于限定记忆型算法,能够满足可穿戴计算机导航系统对可靠性和实时性的要求。
21 wang l , trawick j d , yamamoto r , zamudio c . genome - wide operon prediction in staphylococcus aureus . nucleic acids res . , 2004 , 32 : 3689 - 3702 . 22 washio t , sasayama j , tomita m . analysis of complete genomes suggests that many prokaryotes do not rely on hairpin formation in transcription termination 本文所论述的不依赖终止子预测算法被整合于我们开发的rnall局部二级结构预测软件包内,用户可免费下载，网址为http : digbio . missouri . edu wanx rnall 。
This paper puts forward bp improvable algorithm and exponent prediction pattern depending on neural network " s approach ability to non - linear function . comparing with traditional prediction algorithm , bp algorithm is verified to be feasible and accurate on exponent prediction 本文借助神经网络对非线性函数的逼近能力，提出了bp算法的改进型算法及基于bp算法的指数预测模型，通过对比传统预测算法，证实改进后bp算法用于证券预测的可行性及准确性。
Most key idea and important technique of this algorithm including forecasting model are introduced in this paper . the comparison of the several vbf methods in solving a 2d heat transient initial - boundary problem is given . finally , conclusions of this paper and suggestions for future research are given 文中给出了虚拟边界预测算法的预测模型，详细论述了虚拟边界预测方法的主要思想和关键技术，并在对一类二维热传导方程的求解过程中使用到的各种虚拟边界预测方法进行了比较及分析。
The performance metrics , access latency , throughput , hr hit ratio and bhr byte hit ratio are analyzed and discussed . simulations show that compared with caching only model , iwpcm can further improve the throughput , hr and bhr efficiently and reduce the access latency . the performance evaluation based on the spn model can provide a basis for implementation of web prefetching and caching and the combination of web prefetching and caching holds the promise of improving the qos of web systems 对于缓存命中率和字节命中率等性能指标，使用基于一阶ppm prediction by partial match预测算法，通过四种典型的缓存替换策略gdsf greedy dual size frequency ， gdsize greedy dual size ， lfu least frequently used ， lru least recently used在仅缓存模型和一体化模型中的应用验证了一体化模型比仅缓存技术具有更好的性能。
Furthermore , it is insure that the carrier pahse measurement data does not have cycle slips in gps based attitude determination system , using phase rate prediction algorithm and baseline length constraint information algorithm , the cycle slips can be detected and corrected successfully , which markedly reduce the initialization numbers of attitude determination system 此外，在gps姿态测量系统中，必须保证载波相位观测数据中无载波相位周跳，本文提出的多普勒预测算法和基线长度约束相结合的方法能有效的检测和修正载波相位整周模糊值固定前和固定后的周跳问题，减少了姿态测量系统重新初始化的次数。
By the trend analysis of short period passenger transport volume , the forecast method of highway passenger transport volume of short period is studied , the main structure and forecast algorithm are given , to assist the allocation , the modification , the control of the transport capability , to balance the transport demand and the supply 本文结合实际应用，基于客运量中短期变化规律的分析，对公路客运量短期预测方法进行研究，给出了预测系统的总体结构和预测算法，以协助运力配置、运力调拨，进而实现运力运量的平衡。
