该过程是基于网络的控制系统。系统由O组成。

bp神经网络技术用于步态识别的vc源程序

RBF实现神经网络预测程序，压缩包，不用解压缩密码！-Realize RBF neural network prediction program, compressed packet, do not extract the password!

遗忘因子法递推算法用于估计数学模型的参数,精确度较高!-Forgetting factor recursive algorithm method used to estimate the parameters of the mathematical model, high accuracy!

单点交叉 单点变异 确定式选择法 自适应的遗传算法生成最小树-Adaptive genetic algorithm generates minimum spanning tree

用Ｃ语言实现的神经网络，采用遗传算法对网络进行训练，有很快的收敛速度！-C language of neural networks, genetic algorithm was used to train the network, the speed of convergence very soon!

LIBSVM源码。LIBSVM 是台湾大学林智仁(Chih-Jen Lin)博士等开发设计的一个操作简单、 易于使用、快速有效的通用SVM 软件包，可以解决分类问题（包括C- SVC、 n - SVC ）、回归问题（包括e - SVR、n - SVR ）以及分布估计（one-class-SVM ） 等问题，提供了线性、多项式、径向基和S形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。-LIBSVM source. LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.

软件无线电中信号调制方式的识别――用人工神经网络的方法-Software Defined Radio Signal Modulation Recognition- Using Artificial Neural Networks approach

背包问题的遗传算法解法-knapsack problem Genetic Algorithm Solution

介绍了蚁群算法解决具体问题的优化算法，实践证明效果很好-on the ant colony algorithm for solving specific problems Optimization Practice has proved very effective

使用Visual C++ 2003编写的遗传算法库，具有详细的说明文档，使用接口函数传入相关适应度函数与基因个数、迭代次数相关信息，进行目标优化，使用类模板的形式支持函数并行化-Using Visual C++ 2003 prepared by the genetic algorithm library, a detailed description of the document, use the interface function is passed the fitness function associated with the gene number, number of iterations relevant information to carry out objective optimization, the use of class template in the form of support function parallel