Description: 基于局域法多步预报模型的混沌时间序列预报模型，对多个典型混沌序列的仿真测试表明，本算法具有良好的多步预测精度和较好的抗噪声能力-based multi-step prediction model of chaotic time series prediction model, a number of typical chaotic sequence of simulation tests show that the algorithm has a good multi-step forecast accuracy and better noise immunity Platform: |
Size: 227328 |
Author:蔡烽 |
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Description: 根据GPS卫星的广播星历，计算卫星的位置，也可以进行GPS卫星位置的预报-GPS satellite broadcasting ephemeris, the location of the satellites, will be able to conduct the GPS satellite location prediction Platform: |
Size: 138240 |
Author:付建红 |
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Description: 混沌时间序列预测(chaotic time series prediction)中的Volterra级数一步预测 、Volterra级数多步预测方法-Prediction of chaotic time series (chaotic time series prediction) in the prediction step Volterra series, Volterra series multi-step prediction method Platform: |
Size: 12288 |
Author:李洁 |
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Description: Ridge Regression RR 岭回归估计，是非常有用的非线性时间序列算法，在局部多项式预测中非常有用。-Ridge Regression RR ridge regression estimates, it is useful to nonlinear time series algorithms, in Local Polynomial prediction in very useful. Platform: |
Size: 1024 |
Author:zhxj |
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Description: bp神经网络在人口预测上的应用，可以根据前几年的人口数值预测出以后的人口数值-bp neural network prediction in the population on the application, based on previous years, the population of numerical prediction of the future value of the population Platform: |
Size: 7168 |
Author:杨卓 |
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Description: 混沌时间序列分析与预测工具箱，包括了混沌时间序列分析的很多方法和预测方法。-Chaotic time series analysis and prediction toolbox, including the analysis of chaotic time series prediction in many ways and methods. Platform: |
Size: 467968 |
Author:111111 |
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Description: AVS帧内预测算法的MATLAB代码，具体做了水平预测、垂直预测、DC和左上预测、右下预测。-AVS intra-prediction algorithm MATLAB code, the specific level of the forecast done, vertical prediction, DC prediction and the upper left, lower right forecast. Platform: |
Size: 1024 |
Author:陈辉 |
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Description: ：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 view of the hardship to get real—time and on—line biological parameters in fermentation
process，a soft sensor model based on support vector machines is established for estimating the bio—
logical parameters．The complexity and generalization performance of the support vector regression
(SVR)model depend on a good setting of the three parameters ，c， ．An algorithm called parti—
cle swarm optimization(PSO)is applied to optimize the three parameters synchronously．Based on
the proposed method，a PSO—SVR model is developed to estimate the products concentration of beta—
mannanase for feedstuf．The control results of fermenter show that the state estimation model based
on PSO·-SVR has good learn ing accuracy and generalization perform ance SO as to obtain the real·-time
and on—line estimation for products concentration of beta—mannanase． Platform: |
Size: 231424 |
Author:11 |
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Description: 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。-Abstract：To select the‘best’structure of the neural networks and enhance the generalization ability of models．a support
vector regression neural networks fSVR-NN)was proposed．Firstly，support vector regression approach was applied to
determine initial structure and initial weights of SVR．NN SO that the number of hidden layer nodes can be constructed
adaptively based on support vectors．Furthermore，an annealing robust learning algorithm was further presented to fine
tune the hidden node parameters and weights of SVR一ⅣM The adaptive SVR．NN has faSt convergence speed and robust
capability．and it can also suppress the ‘orerfitting’phenomena when the train data ncludes outliers．The adaptive
SVR．NN was then applied to time series prediction．Experimental results show that the adaptive SVR．ⅣⅣ can accurately
predict chaotic time series，and it iS valuable in both theory and application aspects． Platform: |
Size: 316416 |
Author:11 |
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Description: 基于pso算法在股票短期预测上应用，建立在arma模型的基础上-Pso algorithm based on short-term prediction in the stock application, built on the basis of arma models Platform: |
Size: 1024 |
Author:汪建锋 |
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Description: 这个是基于MATLAB的股票指数预测算法仿真，里边含有实例和coding(This is a MATLAB based simulation of the stock index prediction algorithm, which contains an instance and a coding) Platform: |
Size: 6144 |
Author:迎迎6378 |
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Description: 干预模型预测法及matlab实现教学配套课件，里边含有模型的讲解和案例(Intervention model prediction method and MATLAB teaching courseware, including the explanation and case of model) Platform: |
Size: 1879040 |
Author:迎迎6378 |
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Description: 调用matlab中的随机森林算法实现预测(Call the random forest algorithm in MATLAB to realize the prediction) Platform: |
Size: 1024 |
Author:heelman |
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Search - prediction in matlab