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ayqbj
- matlab实现了五类灰色关联度模型的计算,matlab编写的元胞自动机，基于matlab平台实现。- matlab implements five gray correlation degree computing model, matlab prepared cellular automata, Based on matlab platform.
qen-V4.3
- 可以实现模式识别领域的数据的分类及回归，在matlab R2009b调试通过，matlab实现了五类灰色关联度模型的计算。- You can achieve data classification and regression pattern recognition, In matlab R2009b debugging through, matlab implements five gray correlation degree computing model.
mi186
- 用平面波展开法计算二维声子晶体带隙,分数阶傅里叶变换计算方面,matlab实现了五类灰色关联度模型的计算。- Computation Method D phononic bandgap plane wave, Fractional Fourier transform computing, matlab implements five gray correlation degree computing model.
fm103
- 采用的是通用的平面波展开法,分形维数计算的毯子算法matlab代码,matlab实现了五类灰色关联度模型的计算。- Using common plane wave expansion method, Fractal dimension calculation algorithm matlab code blankets, matlab implements five gray correlation degree computing model.
rtcmv
- 小波包分析提取振动信号中的特征频率，利用自然梯度算法，matlab实现了五类灰色关联度模型的计算。- Wavelet packet analysis to extract vibration signal characteristic frequency, Use of natural gradient algorithm, matlab implements five gray correlation degree computing model.
qx678
- 阐述了负荷预测的应用研究,matlab实现了五类灰色关联度模型的计算,对于初学者具有参考意义。- It describes the application of load forecasting, matlab implements five gray correlation degree computing model, For beginners with a reference value.
7373
- MIT人工智能实验室的目标识别的源码,经典的灰度共生矩阵纹理计算方法，matlab实现了五类灰色关联度模型的计算。- MIT Artificial Intelligence Laboratory identification of the target source, Classic GLCM texture calculation method, matlab implements five gray correlation degree computing model.
dpnij
- matlab实现了五类灰色关联度模型的计算,对HARQ系统的吞吐量分析，脉冲响应的相关分析算法并检验。- matlab implements five gray correlation degree computing model, HARQ throughput analysis of the system, Related impulse response analysis algorithm and inspection.
115157681arma
- 已知1991-2008年的值： 5.99 6.09 6.15 6.23 6.20 6.40 6.50 6.70 6.90 7.00 7.10 7.30 7.50 7.60 7.70 7.90 8.10 8.30 用GM(1,1)灰色模型和bp神经网络预测一直到2050年的值，用matlab实现(1991-2008 known value: 5.99 6.09 6.15 6.23 6.20 6.40 6.50 6.70 6.90 7.00 7.10 7.30 7.50 7.60 7.70 7.90
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and relate
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and related th
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and related theory,
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and related theories, such
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络等以及各种优化算法与神经网络的结合。(This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as B
TOPSIS熵值法R代码和灰色关联度Matlab程序
- TOPSIS-熵权法R代码，可用来进行综合评价(TOPSIS-Entropy Weight R Code, which can be used for comprehensive evaluation)
grey predication
- 预测数据，数据分析,进行经济数据的多年预测，用途广泛(Forecast data, data analysis, multi-year forecast of economic data, widely used)