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Toolboxv1.0
- Joaquin Goñ i <jgoni@unav.es> & Iñ igo Martincorena <imartincore@alumni.unav.es> University of Navarra - Dpt. of Physics and Applied Mathematics & Centre for Applied Medical Research. Pamplona (Spain). December 13th, 2
ahk
- 用此程序可以实现小波变换，用混沌理论和神经网络进行短期负荷预测时，神经网络的输入的选择至关重要-This process can be achieved with wavelet transform, chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input
lbg
- 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-With the new mathematical tools of wavelet analysis into practical load forecasting model based on the performance of NN provides a theoretical basis
lu
- 在用混沌理论和神经网络进行短期负荷预测时，神经网络的输入的选择至关重要，该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择-In chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input, the program implemented with matlabl chaotic time series based o
tulun
- 图论 程序 应用很实用 很好 MacOS编程 中间件编程 书籍源码 -Graph Theory