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BP神经网络实现曲线模拟
- 用BP神经网络实现曲线的模拟-BP neural network simulation curve
BP.rar
- 一个曲线拟合的bp神经网络程序,适合初学者进行研究,A curve fitting of bp neural network procedures, suitable for beginners to study
my_RBF
- 两种径向基神经网络,分别用于模式识别和曲线拟合-my_rbf
RBF
- 用RBF神经网络,完成对y=f(x)的曲线拟合。-Using RBF neural networks, complete the y = f (x) the curve fitting.
bpneuralnetworksandthestudyofcurve
- 网上的大部分BP实现曲线拟合都使用MATLAB库函数,这不利于读者理解BP神经网络的算法。本文用C源码实现MATLAB库函数.-BP to achieve most of the Internet curve fitting using MATLAB library function, this does not help readers understand the BP neural network algorithm. In this paper, the realization of C
MATLABandVC
- MA11AB与VC++混合编程,开发了水轮机综合特性曲线数据处理系统。该系 统利用VC++友好的界面编程对水轮机综合特性曲线已知区域数据进行提取,使用MATLAB 搜索引擎调用RBF人工神经网络库对提取数据进行拟合并结合边界约束条件对未知区域内的 数据进行预测-MA11AB with VC++ mixed programming, developed the turbine characteristic curve of integrated data processing syst
BpDrawSin
- 基于神经网络曲线拟合的编程实现,界面友好!关键字:BP神经网络 曲线拟合 VC-Curve fitting based on neural network s programming, user-friendly! Keyword: BP neural network curve fitting VC++
GA4NN1.2
- GENNET是一个通过遗传算法优化权重的16个神经元的全连接神经网络。训练目的是使网络在一定假设的激励下,随时间产生同目标函数同样的响应,即:可以把此网络制作为一个任意波形的信号发生器。 程序分3个示例说明遗传算法进化过程中网络输出的变化趋势。可以看出网络输出(蓝色曲线)随着时间变化逐渐逼近目标函数(红色曲线)。此程序不仅可以学习遗传算法,也可以用于研究全连接网络的直观示例。-GENNET is a genetic algorithm to optimize the weights b
quxiannihe
- 用神经网络方法进行曲线拟合,可以进行对数字辨识-Using neural networks for curve fitting, can be identified on the digital
BP2
- visual c++实现BP神经网络,可以绘出误差曲线,逼近曲线-visual c++ to achieve BP neural network, can draw the error curve, approximation curve
BP
- 这是一个用动量法和自适应学习速率法改良过后的BP神经网络。编绎环境为VC9.0。当网络训练完成后。能查看误差曲线图。-This is a method with momentum and adaptive learning rate method, after the BP neural network improved. Code Interpretation of the environment VC9.0. When the network training is completed. C
Replaceneuralnetwork
- 替换小波神经网络程序:隐层函数不用小波,用一个余弦函数或正弦函数。这个程序见附录。网络的输出也是不错的,只是有时误差曲线有点波动,但不影响系统输出结果。-Replace the neural network program
BPbianshi
- 阶跃响应曲线下的bp神经网络的系统辨识,效果良好,能很好的辨识系统。-Bp step response curve of the neural network system identification, good results can be a good identification system.
BPnihe
- 基于BP神经网络的热敏式温度传感器数据曲线拟合,里面包含实验报告等-BP neural network based on thermal temperature sensor data curve fitting, which contains the test reports
BP_NN
- 该程序是神经网络算法中使用NN方法计算拟合曲线的代码,可用以一般地输出拟合、输出估计。(The program is neural network algorithm using NN method to calculate the fitting curve of the code, can be used in general output, fitting, output estimation.)
总文件
- 曲线拟合多步预测,多个小波分解,VMD分解,神经网络集成,源代码(Curve fitting multistep prediction, multiple wavelet decomposition, VMD decomposition, neural network integration, source code)
SVM
- 神经网络算法的矩阵处理,输出错误率,绘制roc曲线(The training of random forest)
dyb
- 人工神经网络的单样本数据分析,可以输出样本拟合曲线(The single sample data analysis of artificial neural network can output the sample fitting curve)
python_work
- 用tensorflow设计以三层的神经网络进行曲线拟合,采用梯度下降法。(Tensorflow is used to design three layers of neural network for curve fitting and gradient descent method.)
001
- BP神经网络的MATLAB仿真 显示学习逼近和学习曲线(BP Artificial Neural Network)