如何在VB下实现BP神经网络的拓扑优化算法

EBP反向传播算法对应的源程序，三层网络，分隐层神经元，输出层神经元，输入层神经元的一个基本的程序实现-EBP back-propagation algorithm the corresponding source code, the three-tier networks, sub-hidden layer neurons, output layer neurons, input layer neurons realize a basic procedure

genetic programming in C++ Adam Fraser University Of Salford, Salford, M5 4WT, United Kingdom-genetic programming in C++ Adam Fraser University Of Salford, Salford, M5 4WT, United Kingdom

非常好的模式识别教材，适用于研究生教学，或者初学者-Very good teaching pattern recognition, applied to post-graduate teaching, or beginners

这是一个使用VC++编写的“基于神经网络方法的专家系统源代码”，很有参考价值，请检查-It is a preparation of the VC, "based on neural network expert system source code," was useful, please check

matlab中遗传算法的例子，希望对大家有用呀-Matlab genetic algorithm example, we hope to useful! !

关于人工鱼群算法的一个实例，可以实现所有的人工鱼的基本功能，是采用c开发的-Artificial fish-swarm algorithm on an instance, you can realize all the basic functions of the artificial fish is developed using c

遗传算法中的NSGA2算法实现，解决多目标遗传算法求解Pareto近似解，具有很好的运行效果-Genetic Algorithms NSGA2 algorithm to solve multi-objective Pareto genetic algorithm approximate solution, with very good operating results

数据挖掘关联算法VC实现，很实用，只要按格式修改数据格式就好了

该源码用来实现基本粒子群的算法，值得参考-The source algorithm is used to achieve the elementary particle group, worth considering

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.