搜索资源列表
cnn
- 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-Chaos theory and neural network short-term load forecasting, neural network input is essential to choose the program implemented in matlabl choice of embedding dimension based on chaot
1010280956af30c574c8353c72
- 经典Aihara混沌神经网络模型的程序 经典Aihara混沌神经网络模型的程序-Classic Aihara chaotic neural network model program classic Aihara chaotic neural network model of the program
1010280956ba7aaabc2dc8cd8b
- 混沌神经网络模型（包括二个和三个混沌神经元组成的网络）-Chaotic neural network model (including two and three chaotic neuron network composed)
(RBF)-neural-network-forecasting
- 使用径向基（RBF）神经网络实现混沌预测的一个例子。-Use of radial basis (RBF) neural network forecasting an example of chaos.
lyagk
- 用混沌理论和广义回归神经网络进行短期负荷的预测,取得了满意的效果-Using chaos theory and generalized regression neural network for short-term load forecast, satisfactory results have been achieved
achtevedkchieveu
- 用混沌理论和广义回归神经网络进行短期负荷的预测,取得了满意的效果(Using chaos theory and generalized regression neural network for short-term load forecast, satisfactory results have been achieved)