搜索资源列表
BPnet
- java applet实现的bp神经网络和感知器，使用图形化曲线显示训练过程，使用时直接打开文件夹中的网页
ANN-Predict
- 基于ANN神经网络预测方法，可以较为精确地绘制出预测值与实际值以及误差的曲线
BPmatlab
- bp神经网络 可以模拟出神经网络训练后的性能 画出具体曲线-BP NEUTRAL NETWORK
BPsin
- BP神经网络的小应用。模拟0~1之间的三角函数曲线-BP neural network of small applications. Analog 0 to 1 between the trigonometric curve
sine
- 用遗传算法优化神经网络权值 最后实现逼近sin函数曲线-Neural network using genetic algorithm optimization to achieve the right of the value of the final function curve approximation sin
LNN
- 线性神经网络对曲线进行预测和拟合，可对正弦余弦等曲线进行任意步长和拟合。没用到神经网络工具箱。-Linear neural network prediction and curve fitting, can be arbitrary sine cosine curves such as step length and fitting. Useless to the neural network toolbox.
bpdopr2
- 神经网络对参数进行小波分解，输入的训练参数，绘制拟合曲线保存训练的拟和曲线，可以加坐标和曲线的说明-Neural network parameters wavelet decomposition, the input training parameters, fitting curve drawn and curves to be trained to save, you can add descr iption of coordinates and curves
net
- 有感知器神经网络实现1与0的识别，输出误差曲线-it is a good program!if you needed,be quick to load it down
cppshenjingwangluowenzishibie
- 通过对图片的一系列处理，得到给定图片中的数字。C++实现，本程序包含灰度化，二值化，去离散，缩放，细化，曲线平滑，去枝，最终通过神经网络对提取的数字信息进行分析比对-Through a series of pictures, and to obtain the figures given in the picture. C++ implementation of this program include grayscale, binary, to discrete, scaling, thinn
cmcc
- matlab下的，小脑神经网络例子，应用小脑神经网络，拟合正玄曲线。-matlab and down and little brain network example, application of small brain networks, fitting sine curve.
MATLAB-Curve-Fitting
- 给予神经网络RB发的MATLAB曲线拟合-Issued to give MATLAB neural network curve fitting RB
Wide-field-optical-system-
- 给予神经网络的大视场光学系统畸变曲线拟合-Given the large field of neural network optical system distortion curve fitting
20106242171497221
- 该软件可以对测井曲线进行直方图、小波变换，曲线拉伸、均值绿波、中值滤波、Kalman滤波以及插值等等操作，程序里还包含了神经网络的内容，非常丰富，是您学习VC++编程和数据处理的好资料！绝对超值！-I read the time to write a master s degree, it can log on for histogram, wavelet transform, Tensile curves, the Green Wave mean, median filtering, Kalm
Crystal-Based-on-BP-Network
- 摘 要： 介绍BP算法神经网络由线拟舍方法，并借助MATLAB工具箱函数将它运用于方解石色散特性研 究，通过拟合效果图，误差曲线，误差范数反映BP神经网络的优越性，体现BP算法较高的预测能力和良好的泛化能 力，并且可以自动地确定数学模型．精确度高，原理也较简单，尤其对复杂的输入输出系统具有更好的效果。-Abstract： Curve fitting method of BP neural network was introduced and applied in the model of
2
- 根据归一化后的原始数据曲线，运用自组织神经网络进行藻种识别-According to the normalized data,we identify the HABs using the SOM.
Desktop
- 根据归一化后的原始数据曲线，进行导数变换，然后运用自组织神经网络进行藻种识别-According to the normalized data,we use the Differential switch,and then identify the HABs using the SOM.
Desktop
- 根据归一化后的原始数据曲线，进行导数变换等，然后运用自组织神经网络进行藻种识别-According to the normalized data,we use the Differential switch,and then identify the HABs using the SOM.
quanti
- 仿真曲线可以看出，神经网络PID和模糊PID的响应速度比常规PID控制快，而且系统的调整时间很短，没有超调。神经网络PID与模糊PID的控制效果相同，都能在极短的时间内，消除偏差，快速地克服偏差的影响，改善了系统动态特性，因此说明神经网络PID和模糊PID对锅炉汽包水位的控制效果要优于常规PID控制。-Simulation curve can be seen, PID and fuzzy PID neural network response speed faster than the conv
ann_predict
- 使用人工神经网络，将样本输入网络后，进行预测。绘制预报曲线，地上管网急修作业类型-The use of artificial neural networks, the sample input network, to predict. Prediction curve drawn, the type of ground pipeline emergency repair work
bpa
- matlab平台下，基于bpa神经网络的曲线拟合代码，注释详尽-matlab platform, based on the bpa neural network curve fitting code with comments in detail