搜索资源列表
function-imitation
- 用Matlab神经网络工具箱BP算法实现xcosx函数模拟-Matlab Toolbox BP neural network algorithm simulation function xcosx
rbf4
- 这是一个径向基函数神经网络，通过RBF网络的学习算法来逼近一个二维函数，并利用LMS算法来进行权值调整。-This is a radial basis function neural network, RBF network learning algorithm adopted to approximate a two-dimensional function, and use of LMS algorithm for weight adjustment.
BP-nonlinear-function-fitting
- BP神经网络的非线性系统建模-非线性函数拟合 拟合的非线性函数-BP neural network for nonlinear system modeling- nonlinear function fitting non-linear function fitting
yiyuanhanshu
- 简单一元函数优化实例，利用遗传算法计算下面函数的最大值-One dollar a simple example of function optimization using genetic algorithm function below the maximum
program
- 目标函数是De Jong函数，是一个连续、凸起的单峰函数-Objective function is De Jong function, is a continuous, convex function of the single-peak
NeuroNetSample
- 我以前写的一个的神经网络学习函数逼近和分类的例子，商用级的。-I have previously written a study of the neural network function approximation and classification of examples, business class.
jingxiangji
- 用径向基函数法实现模式分类，自动选择最佳隐含层书目，并给出差准率和差全率。-Radial basis function method used to achieve pattern classification, automatically select the best hidden layer bibliography, and to the business associate and full-rate differential.
C++function
- C程序函数优化源代码，大家可以好好看一下，一起交流探讨吧-C source code for function optimization procedure, we can properly look at it together to explore the exchange of
function
- 基于遗传算法的函数优化,利用遗传算法求解函数极值。-Function based on genetic algorithm to optimize the use of genetic algorithm function extremum.
example
- 本算法是一种标准遗传算法，应用于函数优化，性能较好。-The algorithm is a standard genetic algorithm, applied to function optimization, performance better.
MGA
- 这是一个基于多智能体的遗传算法，算法中以一个30维Rastrigin的函数（该函数有无数个局部积小点一个最小点）为例进行了演示——连续独立运行五十次，每次的解小于1e-4，使用了matcom45和C++的混合编程,请先下载后使用程序-This is a Multi-agent-based genetic algorithm with a 30-dimensional Rastrigin function (the function has numerous local small plot po
elm
- 模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
PSO_GA_RBF
- 粒子群算法、遗传算法优化RBF径向基神经网络。-Particle swarm optimization, genetic algorithm optimization of RBF Radial Basis Function Neural Networks.
SA
- 模拟退火实现的连续函数优化问题。仿真效果良好-Simulated annealing to achieve the continuous function optimization problems. Simulation results
PSO
- 基于matlab的粒子群（PSO）算法求解BANANA函数的极值-PSO Algorithm for Banana function optimization (Matalab)
PSO_for_function_optimization
- 用于连续函数优化的PSO（粒子群）算法,可以根据其进行算法改进，好东东！-PSO Algorithm for general function optimization
patternRecognition
- 这系列课件系统地讲述了模式识别的基本理论和基本方法。内容涵盖了贝叶斯决策、概率密度函数的估计、线性判别函数、邻近法则、特征的选择和提取、非监督学习、神经网络、模糊模式识别等。-This series of courseware on a pattern recognition system to the basic theory and basic methods. Covers the Bayesian decision-making, the estimated probability de
Simple-function-of-the-genetic-algorithm-optimizat
- 使用一系列简单函数对遗传算法进行的改进，克服了传统遗传算法难以全局寻优的缺点。-The use of a series of simple function of the genetic algorithm to improve and overcome the traditional genetic algorithm global optimization difficult shortcomings.
webinar_files
- This a demonstration of how to find a minimum of a non-smooth objective function using the Genetic Algorithm (GA) function in the Genetic Algorithm and Direct Search Toolbox. Traditional derivative-based optimization methods, like those foun
bp_v1_2
- -----引入动量的算法 建立一个3层（含输入层）的BP神经网络，并对其进行训练 输入层不进行数据处理，隐含层激活函数为sigmod函数，输出层为线性函数 输入输出数据归一化到[-1,1]，数据在矩阵中按行向量表示 即x=[x11,x12 x21,x22 ... xp1,xp2] y=[y1 y2 ... yp] p为样本数 -The introduction of the algorithm ----- momentum to build a three-layer (