资源列表
yichuansuanf
- 用C语言实现的遗传算法描述，算法简单明了，效率高。-Using C language implementation of genetic algorithm, the algorithm is simple and clear, and high efficiency.
posbp
- 我写的PSO训练BP网络的代码，各位下载后，适当修改即可运行
GA_BP-pso_bp
- 遗传算法与神经网络混合的算法程序、粒子群优化与神经网络混合的算法程序，可以进行算法结果的比较-Genetic algorithm and neural network algorithm for mixed procedures, particle swarm optimization and neural network algorithm for mixed procedures, can be the result of comparison algorithm
3.c
- 关于遗传算法的机械类设计，c语言编译，可以直接调试！-Mechanical design, genetic algorithm c language compiler, you can debug directly!
yiqunmatlab
- 蚁群算法 很好用的人工智能算法-yiqunsuanfa is a popular arti algthroims
GA
- C语言实现的基本遗传算法，遗传算法是一种用于问题优化的一种智能算法，应用的领域十分广泛。-C language implementation of the basic genetic algorithm, genetic algorithm is a problem of optimization for an intelligent algorithm, a wide range of application areas.
CGPA
- 基于三个子种群的粗粒度并行遗传算法用于解决函数优化问题-The coarse-grained parallel genetic algorithm for sloving the function optimization based on three sub-popolations.
Elman-network-prediction-
- 《MATLAB神经网络原理与实例精解》中chap13的例子 Elman网络预测上证股市开盘价-" MATLAB network principles and examples of fine nerve Solutions" in the example of Elman network prediction chap13 Shanghai stock market opening
svmtrain
- 用于支持向量机中，用来训练参加训练的样本，构建模型，找出支持向量-For support vector machines, to participate in the training sample used to train and build a model to identify support vector
svmtrain
- Introduction This tool provides a simple interface to LIBSVM, a library for support vector machines (http://www.csie.ntu.edu.tw/~cjlin/libsvm). It is very easy to use as the usage and the way of specifying parameters are the same as that
BackPropogation
- 一个简单的BP神经网络实现，权值的修正上还不成熟，学习样本的量有限，不过学习效果觉得还不错-A simple BP neural networks, the weights of the amendment is not yet mature, the amount of learning samples is limited, but feel pretty good learning outcomes
MPSO
- 这是引入了附加学习因子的的粒子群优化算法，对于学习智能优化算法的同学很有帮助,算法中包含注释，且保证可以运行-This is the introduction of additional learning factor particle swarm optimization algorithm, intelligent optimization algorithms for the students to learn helpful