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wavePredict
- 随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性时间序列的辩能力由研究和仿真表明它能有效提高预测的精度-with new mathematical tools wavelet analysis based on NN into practical load forecasting model to improve the performance
PowerPredict
- 本文采用模糊数学和优化理论建立起一套预测模型由计算机自动预测电力负荷从而保证了预测结果的正确性和可信度通过对深圳市远景年电量预测的实例表明该方法是可行而有效的 -this fuzzy optimization theory and mathematical model to establish a set automatically by a computer forecasting electricity load so guarantee the accuracy of the resu
zhb
- 基于云模型的短期电价预测。一种基于云模型的时间序列预测的新型算法。-Based on cloud model of short-term price forecasting. A cloud-based model of the new algorithm for time series prediction.
main_DMC
- 动态矩阵的预测控制源程序，可以实现预测控制中的模型预测和优化算法。-Besides the characteristics of general nonlinearity, the nonlinear plants withtime-delay have the phenomenon of output-delay, which increases the degree of difficulty to control further.
yuce
- 动态矩阵的预测控制源程序，可以实现预测控制中的模型预测和优化算法。- this pa- per puts forward a control scheme of multi-step-ahead prediction and compensation, which increases control power effectively, and improves dynamic characteristics ofthe system. The paper also discusses
yucekongzi
- 动态矩阵的预测控制源程序，可以实现预测控制中的模型预测和优化算法。- this pa- per puts forward a control scheme of multi-step-ahead prediction and compensation, which increases control power effectively, and improves dynamic characteristics ofthe system. The paper also discusses
FuzzyInferenceSystemThesis
- 基于模糊神经网络的软件质量预测模型研究深刻阐述了模糊逻辑推理的全过程，从输入层到隐含层再到输出层。-The thesis expounded the whole process of fuzzy logic reasoning, from the input layer to hidden layer to output layer.
Equipm
- 装备研制阶段保障设备配置效率预测模型Equipment development phase of the efficiency of predictive models to protect the device configuration-Equipment development phase of the efficiency of predictive models to protect the device configuration
MultiPathFading
- 大牛的论文，方法已被列为itu-r建议。是海事卫星中海面多径衰落预测模型-the method has been proposed as itu-r. The sea is maritime satellite prediction model multipath fading
003
- 本文对旋转机械振动故障预 测方法进行了初步研究，分析了传统预测参数的不足，提出了以分时尺度矩为预测故 障参数的两种故障预测模型:分时尺度矩趋势预测模型和分时尺度矩波动预测模型。 根据分时尺度矩的变化不仅能够判断是否发生了故障，而且能够判断故障的种类。典 型故障实测数据的预测结果验证了基于分时尺度矩预测参数的灰色模型故障预测算 法的有效性。 -This paper the grey correlation analysis method and the probabilis
Intersection-traffic-prediction
- 本文的核心部分就是研究无检测器交叉*通流量预测模型和算法，提高预测精度。-This paper studies the core part is no detector intersection traffic flow predictive model and algorithm, increase the prediction accuracy.
wind-speed-prediction
- 基于支持向量机的风速预测模型研究，即SVM,是一篇非常有用的论文-Wind speed prediction model based on support vector machine SVM, is a very useful paper
fractal-predict-pdf
- 该文章从混沌和分形的关系出发，基于奇异吸引子的分形结构和时间序列的自仿射特性，提出了一种混沌时间序列的预测方法。采用迭代函数系统跟踪混沌的局部运动轨迹，由此确定统计意义上放射性能最优的时间序列段，并分局吸引子定力和拼贴定理建立预测模型。-This article from the chaos and fractal relationship starting, based on the characteristics of self-affine fractal structure and ti
Matlab_GM(1_1)coding
- 灰色预测模型算法的程序设计方法，可实现未来数据预测功能-Gray prediction model algorithm programming method can achieve future data prediction function
Wind-power-prediction-problem
- 利用新陈代谢灰色预测、样本自适应BP 神经网络和时间序列分析分别进行风电功率实时预测和日前预测，并采用熵值取权法确定组合权重，引入自控机制，构建反馈，提出组合预测法和基于时间序列的卡尔曼滤波法。研究结果表明，组合预测模型能减少各预测点较大误差的出现，而卡尔曼滤波能大幅消减原始序列的波动影响。-Use of metabolic gray forecast, sample adaptive BP neural network and time sequence analysis respective
Gray-prediction-model-code
- 灰色预测模型的代码,很简洁，很有用。大家只用打开改一下就可以了-Gray prediction model code, very simple, very useful. We only change it can be used to open a
multivariate-grey-prediction-model-
- 文章讨论了多变量灰色预测模型的算法, 给出多变量灰色预测模型的Matlab 程序. 通过实例说明算法程序的应 用和效果-This paper discusses multi-variable gray prediction model algorithm, given multivariable gray forecasting model of Matlab procedures. Algorithm by examples of their application and effecti
duobianliangmatlabcode
- 讨论了多变量灰色预测模型的算法,给出多变量灰色预测模型的Matlab程序.通过实例说明算法程序的应用和效果. 更多还原-Algorithm discussed multivariable gray forecasting model, gives the Matlab program multivariable gray forecasting model by examples illustrate the application and effectiveness of the algor
tixingguanzi2
- 分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.-Suppo
SVM-GUI
- 一种GUI方式的SVM预测模型，操作简单，容易上手。-An easy SVM model