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feisun
- 有借鉴意义哦,基于人工神经网络的常用数字信号调制,matlab程序运行时导入数据文件作为输入参数。- There are reference Oh, The commonly used digital signal modulation based on artificial neural network, Import data files as input parameters matlab program is running.
fuineng_v69
- MinkowskiMethod算法 ,是一种双隐层反向传播神经网络,用MATLAB实现动态聚类或迭代自组织数据分析。- MinkowskiMethod algorithm, Is a two hidden layer back propagation neural network, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
gui_ca86
- 通过matlab代码,实现用SDRAM运行nios,同时用SRAM保存摄像头数据,是一种双隐层反向传播神经网络。- By matlab code, Implemented with SDRAM run nios, while saving camera data SRAM, Is a two hidden layer back propagation neural network.
sk028
- 基于小波变换的数字水印算法matlab代码,关于神经网络控制,D-S证据理论数据融合。- Based on wavelet transform digital watermarking algorithm matlab code, On neural network control, D-S evidence theory data fusion.
keng_ty21
- matlab程序运行时导入数据文件作为输入参数,三相光伏逆变并网的仿真,BP神经网络的整个训练过程。- Import data files as input parameters matlab program is running, Three-phase photovoltaic inverter and network simulation, The entire training process BP neural network.
eavwh
- 包括面积、周长、矩形度、伸长度,关于神经网络控制,内含心电信号数据及运用MATLAB写的源代码。- Including the area, perimeter, rectangular, elongation, On neural network control, ECG data and includes source code written in MATLAB.
yui_nk81
- 基于人工神经网络的常用数字信号调制,迭代自组织数据分析,用MATLAB编写的遗传算法路径规划。- The commonly used digital signal modulation based on artificial neural network, Iterative self-organizing data analysis, Genetic algorithms using MATLAB path planning.
guzhangzhenduan
- matlab关于SOM神经网络的数据分类的应用(Application of MATLAB to data classification of SOM neural network)
yucemoxing
- matlab应用关于Elman神经网络的数据预测(Matlab Application on data prediction of Elman neural network)
《MATLAB 神经网络30个案例分析》程序和数据
- This booK ha ha ha ha ha ha
PSO-BP程序
- 用粒子群优化BP神经网络matlab代码 %以下是训练数据,前4列为输入,第5列为输出 5.700 3.800 0.3175 2.33 2310 4.550 3.050 0.3175 2.33 2890 2.950 1.950 0.3175 2.33 4240 1.950 1.300 0.3175 2.33 5840 1.400 0.900 0.3175 2.33 7700 1.200 0.800 0.3175 2.33 8270 1.050 0.700 0.3175
RBF非线性拟合示例
- 利用matlab神经网络工具箱,实现对非线性数据的多输入多输出拟合
股票预测
- 采用三层BP神经网络结构,输入层神经元数为5,隐含层神经元数为3,输出层神经元数为1,使用MATLAB编写。 将所给数据按14:1分为训练样本集,和测试样本集,经测试及分析,预测误差为0.1700,误差较小。 网络训练好后,输入前一天的6组数据,即:最高价、最低价、开盘价、收盘价、成交量,就能自动预测出后一天的收盘价。(The structure of three-layer BP neural network is adopted. The number of neurons in the i