基于基本遗传算法的函数最优化，C++源代码

一种基于子波特征的模糊神经网络目标识别方法，有一定参考意义-based on wavelet characteristics of the FNN target identification methods, a certain reference value

一类球型分布问题的实现-a ball-type distribution of achievement

针对现有遗传算法在多维非线性优选方面的不足，本文提出了一种基于小生境进化算法（NEA）的非线性优选模型，探讨了NEA算法的参数选择原则。通过大量仿真和比较，表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点，并能在全局范围内有效搜索所有最优解。 -against existing genetic algorithms in three-dimensional nonlinear optimization for the shortage, the paper presents a niche evolutionary algorithm (NEA) nonlinear optimization model, the NEA on the parameters chosen algorithm principle. Through simulation and large, the algorithm shown in a complex nonlinear optimization is fast, efficient, robust features of the strong, and the global scope effective search all the optimal solution.

遗传算法中的新的多点交叉算法用来优化选择最优值-Genetic algorithm in the new multi-point crossover algorithm

本程序是使用一种遗传算法解决m个工件分配给m架机床的效益最优化问题，-this program is to use a genetic algorithm to solve m m allocated to the workpiece-machine efficiency optimization,

hide markov model(HMM) for matlab including initiate,train,and test three parts -hide markov model (HMM) for Matlab includi Vi initiate, train, and test three parts

通过MATLAB实现的打砖块游戏(breakout)，内含netlab人工神经网络工具箱-The implementation of a interesting game "breakout" using MATLAB, also a netlab toolbox of artificial neural network is included.

java神经网络工具箱-neural network toolbox

把 sequential 有导师学习问题转化为传统的有导师学习问题，是weka机器学习系统（本站可下载）的一个拓展-instructors put sequential learning into traditional learning instructors, weka machine learning system (download site), an expansion

实现马尔可夫决策过程模型的算法，该研究方向是当前热门的研究领域。-Markov Decision Process Model realize the algorithm, the research direction is currently a hot research field.