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遗传算法优化BP神经网络——非线性函数拟合
- 遗传算法优化 BP 神经网络分为 BP 神经网络结构确定、遗传算法优化和 BP 神经网络预 测 3 个部分。 BP 神经网络预测用遗传算法得到最优个体对网络初始权值和阔值赋值，网络经训练后预测函数输出。(Genetic algorithm optimization BP neural network is divided into 3 parts: BP neural network structure determination, genetic algorithm optimization
thethird_2
- 当不知道函数形式和样式的时候，可以用随机拟合的方法，但是效率不高。这里用遗传算法替代穷举法。其中遗传算法这个函数极好用，大家可以收藏，我这里也可以看做是这个遗传算法的应用。(When you do not know the form and style of function, you can use the random fitting method, but the efficiency is not high. Here, genetic algorithm is used instead
GA
- GA拟合多元函数，实现函函数的拟合。遗传算法在拟合复杂函数具有很好的效果。残差小。(GA fitting multivariate functions, the realization of the function of the fitting. The genetic algorithm has a good effect in fitting complex functions. Small residual.)
NonlinearFittingLIVE
- 该算法实现了数据的非线性拟合，适合各种初值，(The algorithm implements nonlinear fitting of data)
measurepos
- 根据《机器视觉算法与应用》编写的一维卡尺测量和直线拟合算法，欢迎大家交流学习。(According to "machine vision algorithm and application" prepared one-dimensional caliper measurement and straight line fitting algorithm, welcome to exchange learning)
POLYFIT
- 自己写的一个函数拟合的算法函数，利用了最小二乘法可以拟合相关函数(Write a function fitting algorithm function, the use of the least squares method can fit the correlation function)
Training
- 极限学习机的回归拟合——对比实验研究，改进BP算法的一些缺点，在ELM算法的基础上进行回归拟合预测。(Regression fitting Some shortcomings of BP algorithm are improved, and regression fitting prediction is carried out on the basis of ELM algorithm.)
插值与拟合
- 运用插值与拟合的手段解决问题。例程涵盖多种插值拟合matlab算法(Solving problems by means of interpolation and fitting. Routines cover a variety of interpolation fitting matlab algorithm)
sptest
- 样条函数拟合与遗传算法(spline fit)
RANSAC_plane_single
- 基于matlab的RANSAC算法，主要用来拟合二维直线，同时选出非直线的点用于后续曲线拟合。(The RANSAC algorithm based on MATLAB is used to fit two dimensional lines, and the point of non straight line is selected for the subsequent curve fitting.)
遗传算法处理NURBS曲线逼近（Matlab实现）
- 在Matlab平台上采用将模拟退火算法及遗传算法相结合的曲线拟合方法，实现以任意次数、任意顶点数的非均匀有理B样条（NURBS）曲线逼近给定测量点序列(On the Matlab platform, we use the curve fitting method combining simulated annealing algorithm and genetic algorithm to achieve the sequence of a given measurement point wit
遗传算法改进的神经网络程序
- 自己整理网上的遗传算法改进的神经网络，matlab实现，主要应用于数据函数逼近拟合，网上的一般无法运行。这个可以运行。(The neural network improved by the genetic algorithm on the Internet, matlab implementation, mainly applied to the data function approximation fitting, the network is generally unable to run
案例3 遗传算法优化BP神经网络-非线性函数拟合
- 直接可用的matlab代码，用神经网络解决非线性函数拟合问题(Direct available matlab code to solve nonlinear function fitting problem by neural network)
BP
- BP神经网络的非线性函数拟合,利用BP算法对一个非线性函数进行拟合(The Nonlinear Function Fitting Based on BP Neural Network)
main
- 最小二乘算法拟合多项式，最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。(Least square algorithm fitting polynomial)
常用算法程序包
- 美赛常用算法包括插值拟合、灰色预测、神经网络、图论、聚类分析、模拟退火等(Common algorithms for the United States)
Nonlinear fitting
- 使用拟合残差及残差平方和原理，以人口增长模型为例，结合寻优算法——局部最优解的非线性曲线拟合(Using the principle of fitting residuals and residual sum of squares, this paper takes population growth model as an example, and combines the optimization algorithm, the nonlinear curve fitting of local
思维进化算法优化BP神经网络——非线性函数拟合
- 思维进化算法优化BP神经网络——非线性函数拟合，有源程序和数据(BP Neural Network Optimized by Mind Evolutionary Algorithm - Nonlinear Function Fitting)
BP拟合
- matlab图形怎么中文说明要这么多，不就是个拟合的算法简单应用(matlab Matlab graphics how Chinese instructions so much, is not a fitting algorithm, simple application.)
蒙特卡罗算法与matlab(精品教程)
- 蒙特卡洛算法也常用于机器学习，特别是强化学习的算法中。一般情况下，针对得到的样本数据集建立相对模糊的模型，通过蒙特卡洛方法对于模型中的参数进行选取，使之于原始数据的残差尽可能的小。从而达到建立模型拟合样本的目的。(Monte Carlo algorithm is also commonly used in machine learning, especially in reinforcement learning algorithm. In general, a relatively fuzzy