搜索资源列表
mathmodel
- 这是一个好的建模学习资料,赶快下载吧, 数学建模十大算法 ( 包含:蒙特卡罗算法、数据拟合、参数估计、 插值等数据处理算法、线性规划、整数规划、多元规划、二次规划等规划类问题、 图论算法、动态规划、回溯搜索、分治算法、分支定界等计算机算法、 最优化理论的三大非经典算法：模拟退火法、神经网络、遗传算法、 网格算法和穷举法、一些连续离散化方法、数值分析算法、图象处理算法）-This a good model to study the information, downloa
BP源程序！
- 人工神经元的bp算法，可用于函数拟合，时间序列数据的预测，目前应用非常广泛-artificial neurons bp algorithm can be used to function fitting, time series data estimation, is widely used
bp
- 用bp算法拟合正弦曲线，并采集数据。其基本思想是梯度下降法。-Sine curve fitting algorithm with a bp, and collecting data. The basic idea is the gradient descent method.
1stOpt15PRO
- 用于数据拟合的源代码，可以进行数据两维拟合以及数据回归计算，对于数据学习有很好的效果-The source code for data fitting and can fit the data, and data return to two-dimensional calculation, for the data to study the effect of good
lwr
- 强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程 -Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For wei
ga_bp
- 基于gaot工具箱优化BP以实现数据拟合。在nninit.m中修改数据存储的路径以及隐含层节点数的设置（S1），遗传算法与bp的参数修改在ga_bp.m中进行。-Toolbox gaot Optimize based on BP in order to achieve data fitting. At nninit.m modify the path of data storage as well as the hidden layer nodes of the set (S1), geneti
JLinkage
- J-linkage 算法，可以用于多体拟合的一种策略，优于Multi-ransac-This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual data representation. Each poin
BPdatafitting
- 用BP神经网络做数据拟合的Matlab源码-Neural Network Data Fitting Matlab
BPmatlab
- 神经网络应用于数据拟合，比传统的样条插值方法精度要高，有实验结果。-Neural network used in data fitting than the traditional method of spline interpolation accuracy is higher, with experimental results.
Weighted-Least-Squares.ppt
- WLS是拟合的基础文档，适合数据挖掘人员学习用-WLS is the fitting of the basic documentation, to learn to use for data mining
ffc-1.4.tar
- Key Features * Neural network design, training, and simulation * Pattern recognition, clustering, and data-fitting tools * Supervised networks including feedforward, radial basis, LVQ, time delay, nonlinear autoregressive (NARX), and laye
yichuansuanfa
- 遗传算法实现数据拟合，拟合效果好，相似度达到99 以上-Genetic algorithm for data fitting, the fitting effect of similarity of more than 99
matlab
- matlab神经网络，用于数据拟合及数据模拟预测-matlab neural network for data fitting and data simulation and prediction
Neural-network-fitting
- 通过BP神经网络对数据进行回归分析，将已知数据进行分类预测。-The regression analysis of the data by the BP neural network.
s1
- 1.掌握利用人工神经网络进行数据拟合的方法。 2掌握利用人工神经网络进行分类的方法。 -1 master data fitting method using artificial neural networks. 2 to master the use of artificial neural network to classify.
DigiPic
- DigiPic 函数主要功能是将一个图片形式的表格函数,获取其数据,拟合为一个解析式. 便于计算机使用 DigiPic功能描述 在matlab 2013a运行环境下,启动DigiPic 首先,导入要分析的图表照片 取点建立坐标系,坐标系在取点时同时输入对应的实际坐标值, 拖拽坐标点使其位置在图片上尽量准确,便于后面坐标的自动计算. 按右键完成坐标系的建立. 在图片上原函数图线处取点.同时自动计算函数值 在拟合页,导入函数数据.选择相应的拟
pca-bp
- 在建模前先将数据利用PCA进行降维，将降维后的数据作为BP神经网络的输入因子，对数据进行拟合。-Before the first data modeling use PCA dimensionality reduction, the reduced dimensionality of the data as the input factor BP neural network, the data fitting.
artificial-neural-network
- 基于人工神经网络进行数据拟合和预测，其中程序中含有数据，应用时直接修改数据就行-Based on artificial neural network for data fitting and forecasting, where the program contains data, modify data directly on-line application
GP
- 应用于数据拟合问题的遗传程序设计（GP）实现。-Applied to data fitting problem of genetic programming (GP) implementation.
BP_matlab
- 一个简单的利用ＢＰ神经网络进行线性函数数据拟合的程序。-A simple linear function of the data fitting program using BP neural network.