改进的识别MBP神经网络算法，随机噪声的无线…

neural network in C language

遗传算法（C++版），非常好的！-genetic algorithm (C version), very good!

本程序是关于qam的解调程序用c语言编写希望大家能用-this process is on the demodulation process qam c language with hope everyone can be prepared

vc++ 实现的人工神经网络bp网络的源代码-bp Algorithm

利用遗传算法求最小值，程序中求得是表达式x1*x1+x2*x2+x3*x3再-2~2上的最小值，以及对应的x值，算法中使用二进制编码，交叉采用不同交叉和优势交叉，变异也分两种，不用变异和优势变异-using genetic algorithms for the minimum, procedures to seek expressions x1 x1 x2*** x2 x3 x3 another 2 ~ 2 on the minimum, and the corresponding value of x, algorithm using binary encoding, using different cross-cross and advantages of crossover and mutation at the two without variation and variation advantage

遗传算法的一个库，算法设置比较灵活，需要懂算法的人来下载-a genetic algorithm library, set up a more flexible algorithm, the algorithm needs to understand people to download

支持向量机工具箱使用方法演示，讲述如何使用svm的工具箱。-Support Vector Machines to use the toolbox demonstration on how to use the toolbox svm.

8。《遗传算法及其应用》，陈国良等编着 人民邮电出版社 2001年第一版 本书系统全面地介绍了遗传算法的基本原理、设计方法及其并行实现，以及它在组合优化、机器学习、图像处理、过程控制、进化神经网络、模糊模式识别和人工生命等方面的应用。 本书可作为高等院校计算机、无线电电子学、自动控制、生物医学工程等有关专业高年级学生或研究生的教材和参考书，也可供从事人工智能、信息处理研究和应用的科技人员学习参考。-8. "Genetic algorithm and its application," Chen Guoliang edited and published with the People"s Post and in 2001 the first book version of the full introduction of the genetic algorithm basic tenets , design methods and parallel implementation, and its portfolio optimization, machine learning, image processing, process control, evolutionary neural networks, Fuzzy Pattern Recognition and Artificial Life, and so on the application. The book can be used as institutions of higher learning computers, radio electronics, automatic control, biomedical engineering, and other professional grade students or graduate teaching and reference materials, are also available in artificial intelligence, information processing and application of information technology to study.

几篇关于混合遗传算法方面的好文章。-few mixed genetic algorithm on the excellent article.

神经网络理论与Matlab7电子工业出版社原代码-neural network theory and Matlab7 Electronic Industry Publishing House source