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matlab svm的gui操控界面，绝对可用！！！能够实现分类预测等强大的功能，可以根据自身需求设置各种参数！-GUI control interface matlab SVM, absolutely available!!! To achieve functional classification prediction, powerful, you can set various parameters according to their own needs!
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The doubly fed induction generator (DFIG) is widely
used in wind energy. This paper proposes a model-based predictive
controller for a power control of DFIG. The control law is derived
by optimization of an objective function that considers the
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这是一段对预测信号进行功率控制的程序，利用自己提出的算法。-This is a prediction signal for power control procedures, the use of the algorithm himself.
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神经网络算法建模预报与控制，学习神经网络算法好资料-Neural network algorithm modeling prediction and control, learning neural network algorithm good information
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Prediction at Fuzzy control
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BP神经网络模糊控制，达到预测的目的，集训练和预测于一身-Purpose, set BP neural network training and prediction fuzzy control, to achieve the predicted in-one
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DMC预测矩阵控制程序，matlab程序，关于单晶炉温度控制-DMC prediction matrix control program
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我2011年全国大学生电工数学建模一等奖论文，里面提出了三种方法来对风电功率的预测，分别是灰色预测、时间序列分析、神经网络。而本文最重要的一个创新点就是加入了一个反馈控制系统 很好地控制了预测精度，maltab代码也已经附在后面了,单独的程序也整理出来了，都是很好的学习资料-And this is the one of the most important innovations have joined a feedback control system to control the predi
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kalman滤波的经典例程，对于学习和指导使用kalman滤波非常有帮助，还附有Kalman最经典的论文A New approach to Linear filtering and prediction problems以及非线性系统确定采样型滤波算法综述2012控制与决策-kalman filtering classic routines, learning and guidance for using kalman filter is very helpful, but also with
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radial basis function network is an artificial neural network that uses radial basis functions a ctivation functions. The output of the network is a linear combination of radial basis functions of the inputs and neuron parameters. Radial basis functi
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Predictive direct power control (P-DPC) applied
to voltage source pulse-width-modulation (PWM) rectifier was
introduced in this paper. Based on the model of power
prediction, voltage vectors were selected according to
minimizing power errors
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属于机器学习的范畴，通过输入训练样本，通过分类或线性回归得到标签的假设性函数-The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library that has been specifically designed for real-time gesture recognition.
In addition to a comprehensive C++ AP
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基于阶跃响应的预测控制，模型匹配与模型失配两种情况-Step response prediction based control model matches the model mismatch in both cases
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基于阶跃响应的预测控制，包括模型失配和模型匹配情况-Step response prediction based on control, including model mismatch and model matching case
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多步、多变量预测控制模型，对于初学预测控制的人员有用。-Multi- step and multi- variable predictive control model is useful for the prediction of the novice.
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过热汽温拓展DMC控制算法，基于脉冲响应建立 预测模型。并设计补偿措施，能够处理非最小相位对象的控制。-Superheated steam temperature extend DMC control algorithm, based on impulse response prediction model is established.And design compensation measures, able to handle non minimum phase control of ob
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该论文将神经网络应用到烧结终点的预测中，并结合主元分析、灰色理论等人工智能技术，建立了实用有效的预测模型。该方法成功应用于某钢铁企业280m2大型烧结机的在线控制。经过验证，该方法克服了人工判断的随机性，针对不同工况准确预报烧结终点，该预报值可用来指导生产或送控制计算机，为烧结终点智能控制提供操作依据。-In this paper,ANN technology is applied to build the practical and
useful prediction model of B
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烧结过程是一个具有强非线性、强耦合性、不确定性、时变、时滞的复杂工业过程，采用传统的控制技术难以满足生产要求。该论文综合运用机理分析、先进控制理论、人工智能技术等多学科知识，对烧结过程及其控制的方法和技术进行了深入研究，提出一种基于烧结终点预测的烧结过程智能控制策略，建立了相应的智能控制系统，为有
效解决铁矿石烧结过程的控制问题提供了新的途径-Since iron ore sintering is a complex industrial process with strong
nonl
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有详细的注释，FmfBWqI参数是机器学习的例程，包括主成分分析、因子分析、贝叶斯分析，调试通过可以使用，JuozQXH条件预报误差法参数辨识-松弛的思想，DC-DC部分采用定功率单环控制。- There are detailed notes, FmfBWqI parameter Machine learning routines, Including principal component analysis, factor analysis, Bayesian analysis, Debug
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本程序的性能已经达到较高水平，cykgPCQ参数现代信号处理中谱估计在matlab中的使用，matlab程序运行时导入数据文件作为输入参数，预报误差法参数辨识-松弛的思想，FRWxJNd条件双向PCS控制仿真，数学方法是部分子空间法。- The performance of the program has reached a high level, cykgPCQ parameter Modern signal processing used in the spectral estimatio
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