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svr
- linux 增量升级服务器，主要负责不定时处理手机终端进行某个插件升级，处理多tcp连接，同时加入简单客户端链接demo-linux upgrade server, mainly manipulating time to time plugin upgrade applications by mobiles, handling multiple tcp links, and also a demo client.
PS0-SVR
- ：针对发酵过程中生物参数难以实时在线测量的问题，建立了用于生物参数状态预估的 支持向量机软测量模型。考虑到该支持向量回归(SVR)模型的复杂性和冷化特征取决于其三 个参数 ，c， 能否取到最优值，采用粒子群优化(PSO)算法实现对参数 ，c， 的同时寻优。在 此基础上，以饲料用 ．甘露聚糖酶为对象，建立了基于PSO—SVR的发酵过程产物浓度状态预估 模型。发酵罐控制结果表明：该模型具有很好的学习精度和泛化能力，可实现对 ．甘露聚糖酶 产物浓度的实时在线预估。-In
TimeSeriesPredictionUsingSupportVectorRegressionNe
- 为了选择神经网络的最好结构以及增强模型的推广能力，提出一种自适应支持向量回归神经网络(SVR—NN)。SVR—NN 用支持向量回归(SVR)方法获得网络的初始结构和权值， 白适应地生 成网络隐层结点，然后用基于退火过程的鲁棒学习算法更新网络结点疹教和权 主。 SVR—NN有很 好的收敛性和鲁棒性，能抑制由于数据异常和参数选择不当所导致的“过拟合，’现象。将SVR—NN 应用到时间序列预测上。结果表明，SVR．NN预测模型能精确地预测混沌时间序列，具有很好的 理论和应用价值。-Ab
chap8_1
- 基于SVR的线性系统逆模型辨识建模及校验的仿真程序，由于辨识信号采用的都是随机信号，不是数值固定的信号，所以程序每次运行的结果都可能有所不同。-Linear inverse model identification modeling and verification system simulation program based on SVR identification signal are random signal, not the value of the fixed signal, s
chap9_1
- 基于SVR的线性系统内部模型辨识建模及校验的仿真程序， 由于辨识信号采用的都是随机信号，不是数值固定的信号，所以程序每次运行的结果都可能有所不同。-Based the SVR system of linear internal model identification modeling and verification simulation program identification signal are random signal, not the value of the fixed si
Salary Prophesy based on job advertisement
- Due to constraints on time and memory, I had to train on subsets of data. Hence, I decided to split the data set based on Job Category (there are 29 possible categories). I then trained an SVR model for each Job Category. Given a new advertisement, m
SVR-with-example
- the matlab code for support vector regression machine , including data pretreatment of information. It includes an example (time prediction series)that uses SVR
P1-s2.0-S0957417410001107-main
- Business cycle predictions face various sources of uncertainty and imprecision. The uncertainty is usually linguistically determined by the beliefs of decision makers. Thus, the fuzzy set theory is ideally suited to depict vague and uncertain feature
Dissertation-ARIMA_SVR-prediction-master
- 基于时间序列分析ARIMA和SVR组合模型的预测(Prediction of ARIMA and SVR combined models based on time series analysis)