资源列表
BP
- 该程序实现BP算法 分别用了用C++，Matlab，Fortran来实现 大家可以对比下 希望有帮助-The program were used to achieve the BP algorithm using C++, Matlab, Fortran to realize that we can hope that help contrasting
psoandimprovedpso
- 基本粒子群优化算法和改进粒子群优化算法程序，包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题，用混沌粒子群优化算法求解无约束优化问题，
BPROP
- 神经网络中的bp算法源码，主要是为了更好理解算法的意义和实现原理-Bp neural network algorithm source code, the main algorithm in order to better understand the meaning and implementation principle of
chap4
- 此为神经网络的仿真程序,也包括小波神经网络-This is a neural network simulation program, but also wavelet neural network
Neural_network
- 神经网络的一些算法代码，包括ADALINE，ART1，BAM，BOLTZMAN，BPN，HOPFIELD等 -Some of neural network algorithm code, including ADALINE, ART1, BAM, BOLTZMAN, BPN, HOPFIELD, etc.
Kmeans
- 使用C语言实现kmeans算法，K=3。-Kmeans algorithm using the C language implementation, K = 3.
chepaishibie
- 神经网络来识别车牌，效果很好，通过验收的，绝对可以运行出结果-Neural network to identify the license plate, a good effect, through the acceptance, and absolutely you can run out of the results of
monk_savage2
- 这是一个修道士与野人的渡河问题，是在C++环境下编写的一个学习程序，适合人工智能初学者。-This is a monk with the savages of the crossing issue is in the C++ environment, written in a learning process, suitable for beginners artificial intelligence.
Dependency
- 基于粗糙集的条件属性对决策属性的依赖度计算函数，简单易用。-Condition attributes based on rough set dependency of decision attribute calculation functions, easy to use.
BP_vC
- BP neural network algorithm (vC + + program)，感觉不错的程序，跟大家分享一下，希望大家支持-BP neural network algorithm (vC++ program), feel good program, now share with you, hope you will support
xiangqiAL
- 象棋经典算法文档， 包括所有经典程序实现原理，和原代码 很经典 象棋经典算法文档， 包括所有经典程序实现原理，和原代码 很经典-Chess classical algorithm documentation, including all the classic principles of program implementation, and the original code is the classic chess classical algorithm document
ann
- 具有随机噪声的二阶系统的神经网络识别及其matlab实现-Artificial neural network