matlab的GA工具箱与vc混和实现遗传算法的源码

双峰和多峰函数最大值的遗传算法求解 采用前向网络-Bimodal and multimodal function maximum use of the genetic algorithm to the network

机器人竞赛系列，robocon，，期刊论文-Series of robot competitions, robocon,, Journal Papers

本人调试的大作业（源程序模型+论文），主要包括PID控制、模糊控制、神经网络控制、遗传算法优化神经网络控制（使用了遗传工具箱GAOT）对同一系统所作的仿真比较，并加入饱和、死区、时滞等非线性后的响应，具体的分析比较过程论文中写的很详细。-I debug a big operation (source model+ Thesis), including PID control, fuzzy control, neural network control, genetic algorithm optimization of neural network control (using a genetic toolbox GAOT) on the same system simulation by the comparison, and to join saturation, dead zones, such as nonlinear time-delay after the response, the specific analysis of the comparison process paper written in great detail.

一个完整BP神经网络源代码，包括数据和说明文档-a complete neural network source code, including data and documentation

遗传算法，生物技术，进化技术，主用用来求函数优化问题-Genetic algorithms, bio-technology, evolution of technology, the main use for the seek function optimization problems

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

贝叶斯算法是基于贝叶斯定理 P(H|X) = P(X|H)P(H) / P(X).。对于多属性的数据集，计算 P(X|Ci) 的开销非常大，为减低计算复杂度，我们做条件独立的假设，即给定元组的类标号，假定属性值有条件地相互独立，即在属性间不存在依赖关系。此程序仅为算法的一个实现，根据训练数据训练分类器-Bayesian algorithm is based on the Bayes theorem P (H | X) = P (X | H) P (H)/P (X).. For multi-attribute data sets, computing P (X | Ci) of the overhead is very large, in order to reduce the computational complexity, we do conditional independence assumption that a given tuple class label, it is assumed that property values conditionally independent of each other, that does not exist in the inter-attribute dependencies. This procedure is only an implementation of algorithm, according to training data classifier training

根据教材整理的神经网络程序！很多种神经网络程序-Finishing materials in accordance with the neural network program! A variety of neural network procedures

神经网络7种C语言实现代码，大家可以-Neural Networks 7 kinds of C language code, everyone can

Bayes网络工具箱，可以用作分类或者拟和，希望对大家有用-Bayes network toolbox, can be used as a classification or proposed and, in the hope that useful to everybody