这种进化过程是人工生命floy的能力，你会看到模型。

只要输入相关参数就可以得到结果，最值遗传算法，含源码-Just enter the relevant parameters can be the result, the most value genetic algorithm, with source

这个是SA模拟退火求函数极值用c++编译的程序-the simulated annealing SA is seeking function using extreme procedures c compiler

线性神经网络，BP神经网络，Hopfield神经网格，Elman神经网络，RBF神经网络；在模型应用模块中实现了六种实际应用：RBF网络的船用柴油机故障诊断，BP网络的齿轮箱故障诊断，SOM网络的回热系统故障诊断，BP网络的设备状态分类器，SOM网络的人口比例样本分类，SOM网络的土壤性状样本分类。-Linear neural network, BP neural network, Hopfield neural network, Elman neural network, RBF neural network application modules in the model to achieve practical application of Six: RBF network of marine diesel engine fault diagnosis, BP network gearbox fault diagnosis, SOM network regenerative system fault diagnosis, BP network classifier equipment, SOM network the proportion of the population sample classification, SOM network classification of soil samples.

ID3算法的另一种用java实现的代码，利用向量。-Another ID3 algorithm realize with java code, using vector.

神经网络控制作为一种全新的智能控制方法,是解决非线性系统预测和控制问题的一种重要手段,受到了许多专家学者的广泛关注,是目前国内外研究的热点之一。本文着重研究前向神经网络的学习算法,简单探讨了BP算法在逼近非线性系统中各个因素对系统的影响。 -Neural Network Control as a new intelligent control method is to solve the nonlinear system to predict and control an important means by many experts and scholars in a wide range of concerns, is one of the hot research. This article focuses on feedforward neural network learning algorithm, a simple BP algorithm of approximation of nonlinear systems in the various factors on the system.

用禁忌搜索解决TSP问题，程序中使用对路径长度禁忌的方法，运行效率比较高。-Tabu search solution TSP, procedures for the use of the taboo path length, operating more efficient.

用局部最优探索算法求解tsp问题。。。matlab编写。附有城市坐标用于检验。 -Using local optimization algorithm to explore the issue tsp. . . matlab prepared. Coordinate with the city for inspection.

关于机器人的手臂程序，包含最基本的移动，-Procedures on the robot arm, including the most basic mobile,

AI 人工智能 在C#环境下实现 9宫格 算法-AI

本代码是一个自适应优化遗传算法的例子，读者可以结合王小平写的书来学习，已经实现了，测试过，可以通过编译计算结果-This code is an adaptive genetic algorithm optimization example, readers can be combined Wang Xiaoping wrote the book to learn, has become a reality, testing, and results can be compiled