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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
juleirbf
- 用matlab编写的聚类rbf神经网络曲线拟和程序。转载的,效果不错。-prepared using Matlab Clustering rbf neural network and curve-fitting procedures. Reproduced in the good results.
tdrbf
- (转载)在网上找的用梯度下降算法开发的rbf神经网络曲线拟和程序。 -(reproduced) on the Internet to find the gradient descent algorithm development of the neural network rbf curve fitting and procedures.
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
bp
- 人工智能,神经网络,反馈算法,用于曲线拟合等-Artificial intelligence, neural networks, feedback algorithm for curve fitting, etc.
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.
bp_nn
- 不用工具箱的BP神经网络曲线拟合,做的时候老师不让用工具箱,大家自己看看吧-Needless BP neural network toolbox curve fitting, when teachers do not use the toolbox, we could see for himself now
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
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
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
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.)
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)
084779
- 此代码可实现最优控制理论中的单纯型寻优算法,可调节参数,并通过曲线查看调节结果,()
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.)