模拟退火算法：源于遗传算法，用来解决优化、决策等复杂的模型和问题。...

用三层BP网来进行函数逼进，语言是VB6.0编写-BP network with the three-tier to function pressing language is prepared VB6.0

遗传算法的源代码下载,遗传算法的源代码下载-Genetic algorithm source code download, genetic algorithm source code download

K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K－均值聚类的的时间复杂度是n*k*m，其中n为样本数，k为类别数，m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类，寻找最优，列举一遍约66.7天，分成3类，则要约3500万年。针对算法局部最优的缺点，本人正在编制模拟退火程序进行改进。希望及早奉给大家，倾听高手教诲。-K-means clustering algorithm programming. Point by point, including clustering and clustering batch. K-means clustering of the time complexity of n* k* m, n samples, several types of k, m sample dimension. The time complexity is a very objective. Because if we use one billion times per second the computer using 50 samples of two exhaustive method to find the optimal set out again about 66.7 days, divided into three categories, offering 3,500 years. Local optimal algorithm against the shortcomings, I was prepared simulated annealing process improvements. Early Feng hope for everyone, listen to the master teachings.

这是基于MATLAB编写的一个神经网络的实例。-This is based on the MATLAB neural network to prepare a case in point.

Lin-Kernighan的R-Opt算法。主要思想是CLK，小规模的TSP可以在很短的时间内都到最优解。-Lin-Kernighan algorithm for the R-Opt. The main idea is CLK, small-scale TSP can be in a very short period of time have gone to the optimal solution.

Adaptive Resonance Theory Brain Modeling 人工智能人工神经网络源码-Adaptive Resonance Theory Brain Modeling artificial neural network artificial intelligence source

基于神经网络的电离层F2层临界频率预测方法 基于神经网络的电离层F2层临界频率预测方法-Based on neural network of ionospheric layer F2 critical frequency forecasting methods based on neural network of ionospheric layer F2 critical frequency forecasting methods

基于感知器神经网络处理复杂的分类问题-based perceptron neural network to handle complex classification problems

粒子群算法，希望对大家有用，粒子群算法粒子群算法-PSO, a member of the useful, PSO PSO

快速度训练感知机算法，针对线性不可分情况，加快了其收敛速度。-Fast-degree training perceptron algorithm for linear indivisible and speed up its convergence speed.