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: |
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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: |
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Author:11 |
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Description: CHANNEL ESTIMATION AND PREDICTION FOR ADAPTIVE OFDMTDMA UPLINKS, BASED ON OVERLAPPING PILOTS in matlab mfile Platform: |
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Author:lakshmi narayana |
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Description: 预测控制是一种新型的控制算法之一。经典的PID控制方法简单方便,但是精度不高。近年来发展的自适应、自校正方法精度高,但其本质要求在线辨识对象模型,对过程的未建模动态和扰动的适应能力差,鲁棒性不好。预测控制方法集PID和自适应方法二者之长,是一种面向工业过程特点、对模型要求低、在线计算方便、控制精度高的算法。数字计算机向小型、高速、大容量、低成本方向的发展,为预测控制这类新算法的实现提供了物质基础。 本文以PCT—Ⅲ型过程控制系统装置为平台,将预测控制算法运用到实际系统中去,该装置分为水位系统和温度系统。本文是将多步预测控制算法运用到温度系统。应用控制软件采用北京亚控公司的组态王软件(KingView),它界面设计能力强,也可以简单编程,但计算能力差,不能进行矩阵计算。而在温度多步预测控制中,计算量大,编程复杂,因此引入Matlab软件解决计算和编程,要解决的问题是MATLAB和组态王的数据交换,采用动态数据交换技术(DDE)。 预测控制算法有多种,本文采用的是动态矩阵控制方法(DMC)。-Predictive control is one of a new control algorithm. The classic PID control method is simple, but the accuracy is not high. In recent years the development of adaptive, self-calibration method is accurate, but its object model online identification of the essential requirements of the process unmodeled dynamics and disturbances poor adaptability, robustness is not good. Prediction and adaptive PID control method sets the length of the two methods is a feature for industrial processes, low requirement on the model, online convenience of calculation, the control algorithm for high accuracy. Digital computers to small, high-speed, large capacity, lower costs of development, such as predictive control implementation of the new algorithm provides the material base. In this paper, PCT-Ⅲ type of process control system devices as a platform, the predictive control algorithm to apply to the actual system, the device is divided into water system and temperature system. This is a multi-step pre Platform: |
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Author:王明 |
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Description: 嵌入维数自适应最小二乘支持向量机
状态时间序列预测方法
Condition Time Series Prediction Using Least Squares Support Vector Machine
with Adaptive Embedding Dimension
针对航空发动机状态时间序列预测中嵌入维数难于有效选取的问题, 提出一种基于嵌入维数自适应
最小二乘支持向量机( L SSVM ) 的预测方法。该方法将嵌入维数作为影响状态时间序列预测精度的重要参
数, 以交叉验证误差为评价准则, 利用粒子群优化( P SO ) 进化搜索LSSV M 预测模型的最优超参数与嵌入维
数, 同时通过矩阵变换原理提高交叉验证过程的计算效率, 并最终建立优化后的L SSVM 预测模型。航空发
动机排气温度( EGT ) 预测实例表明, 该方法可自适应选取适用于状态时间序列预测的最优嵌入维数且预测
精度高, 适用于航空发动机状态时间序列预测。- T o deal wit h the difficulty of selecting an appro pr iate embedding dimension for aeroeng ine co ndition
time series predictio n, a metho d based o n least squar es suppo rt vecto r machine ( L SSVM ) with ada ptive em
bedding dimension is pro po sed. I n the method, the embedding dimensio n is identified as a parameter that af
fects the accuracy o f the aer oengine condition time series predictio n par ticle sw arm o ptimizat ion ( P SO) is ap
plied to optimize the hyperpar ameter s and embedding dimension of the L SSV M pr edict ion model cro ssv alida
tion is applied to evaluate the perfo rmance o f the L SSVM predictio n mo del and matr ix tr ansfo rm is applied to
the L SSVM pr ediction model tr aining to accelerate the crossvalidation evaluation pro cess. Ex periments on an
aeroengine ex haust g as t emperatur e ( EGT ) predictio n demonst rates that the metho d is hig hly effective in em
bedding dimension selection. In compar ison w ith co nv Platform: |
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Description: this package contain: five matlab function and one script.
XOX_OLS: is Common ols regression function that print out results just like Eviews Program.
XOX_PanelFix: is Common fix effect panel data regression function that print out results just like Eviews.
XOX_PanelRandom: is Common random effect panel data regression function that print out results just like Eviews.
XOX_print: is the function for print an matrix in formatted form for panel data results.
XOX_FuzzyRegression: is a fuzzy linear regression model function that based on triangle membership function.
XOX_ANFIS: is an escript to explain prediction using TAKAGI-SUGENU adaptive neural based inference system.-this package contain: five matlab function and one script.
XOX_OLS: is Common ols regression function that print out results just like Eviews Program.
XOX_PanelFix: is Common fix effect panel data regression function that print out results just like Eviews.
XOX_PanelRandom: is Common random effect panel data regression function that print out results just like Eviews.
XOX_print: is the function for print an matrix in formatted form for panel data results.
XOX_FuzzyRegression: is a fuzzy linear regression model function that based on triangle membership function.
XOX_ANFIS: is an escript to explain prediction using TAKAGI-SUGENU adaptive neural based inference system. Platform: |
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Author:xox |
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Description: 是国外的成品模型，一些自适应信号处理的算法，与理论分析结果相比，BP神经网络用于函数拟合与模式识别，现代信号处理中谱估计在matlab中的使用，预报误差法参数辨识-松弛的思想。- Foreign model is finished, Some adaptive signal processing algorithms, Compared with the results of theoretical analysis, BP neural network function fitting and pattern recognition, Modern signal processing used in the spectral estimation in matlab, Prediction Error Method for Parameter Identification- the idea of relaxation. Platform: |
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Author:weaymm |
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Description: 这是一个Matlab实现的能量检测程序，通过能量预测减少整体的错误率，从而实现对协作频谱感知的优化。它在认知无线电网络的自适应环境中表现很好，可以更好地填补频谱空洞。(This is a Matlab implementation of energy detection procedures, through the energy prediction to reduce the overall error rate, in order to achieve the optimization of cooperative spectrum sensing. It performs well in the adaptive environment of cognitive radio networks and can better fill the spectrum hole.) Platform: |
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Author:geng1992
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Search - adaptive prediction in matlab