Simple genetic algorithm source code, very useful, we can learn from

一个利用遗传算法解决TSP问题的程序,有利于对遗传算法进一步的理解.-A use of genetic algorithms to solve TSP problems procedure is beneficial to further understanding of genetic algorithm.

详细介绍了局部奇异值分解-details of local SVD

人工神经网络基本模型：BP、ART、Hopfield、SOM-ANN basic model : BP, ART, Hopfield, SOM

遗传算法的C语言计算，同时以文本的方式输出和图形的方式输出。-genetic algorithm in C language, while the text and graphic output of the output.

测试无约束优化定理求解最小值,包括测试数据,在VC下可以实现,已经调试成功.-test unconstrained optimization for minimum theorem, including test data, the VC can be achieved, debugging has been successful.

同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-comparison with the genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications

介绍了遗传算法的基本原理和求解流程, 详细阐述了Matlab 遗传算法工具箱的使用方法, 并通过使用遗传算法工具箱对一个典型的函数优化问题进行求解, 验证了该工具箱在解决函数优化问题上的有效性和实用性。-Introduce a genetic algorithm to solve the basic principle and flow in detail Matlab genetic algorithm toolbox to use, and by using genetic algorithm toolbox for a typical function optimization problems to solve, the validity of the toolbox in solving function optimization problems on the effectiveness and practicality.

用RBF实现的目标图象识别程序,C实现,可以应用于DSP系统.-RBF realize the goal of using the image recognition program, C realize, can be used in DSP systems.

模式识别二维链表实现isodata算法 早期试验，界面没有优化-2D pattern recognition algorithm to achieve isodata early testing, has not been optimized interface

neural network in C language