资源列表
libsvm-3.20
- 同时用C和matlab是实现的支持向量机原码，请详细阅读dex.txt(如何使用)-While C and matlab realize SVM original code, please read dex.txt (how to use)
EC-Evolutionary
- ECEA is a multiobjective evolutionary algorithm based on a novel, adaptive implementation of the epsilon-constraint method.
complex-network
- 采用随机图生成无标度网络的算法，返回值是无标度网络的的连接矩阵和度分布，比较实用。把代码拷贝到matlab环境下就可以用。-Using an algorithm to generate random graph scale-free networks, the return value is the connection matrix and the degree of scale-free networks of distribution, more practical.
Simulated-Annealing-Algorithm
- 一种有效的模拟退火算法，解决全局最优化问题的快速算法，简单易懂，经测试效果很傲-An efficient simulated annealing algorithm, the fast algorithm to solve the problem of global optimization, and easy to understand, the test effect is very proud
AForge.NET
- AForge.NET是一个专门为开发者和研究者基于C#框架设计的，他包括计算机视觉与人工智能，图像处理，神经网络，遗传算法，机器学习，模糊系统，机器人控制等领域。-AForge.NET is a specialized developer and researcher based C# framework designed, he included computer vision and artificial intelligence, image processing, neural netw
dongwuzhuanjiaxitong
- 人工智能，动物专家系统。能够通过不断训练，识别出动物-Artificial intelligence, expert systems of animals. Through continuous training, to identify animals
neural-network-analysis-of-30-cases
- MATLAB神经网络30个案例分析，遗传算法优化BP神经网络-非线性函数拟合等30种代码-MATLAB neural network 30 case studies, genetic algorithm optimization BP neural network- a nonlinear function fitting and other 30 kinds of code
ensemble-learing-for-decision-tree
- 决策树的集成学习,用Java语言实现！具有良好的分类性能！-ensemble learning for decision tree
RandomUtil
- 一个用于按照样本概率随机抽样的算法，概率越大，随机抽到的机会越大。-A algorithm of sampling data based on rate,the rate bigger,the chance bigger!
LQR
- 单级倒立摆LQR控制，通过LQR控制，为了使系统具有快速的响应，对Q矩阵中的参数Q11和Q33进行调整。-Linear Quadratic Regulator——LQR，adjust the parameter of the Q，fasting the response rate
GA_BP
- 用遗传算法优化BP神经网络进行非线性函数拟合，程序中还编写出了单纯BP的预测函数，以及BP和GA_BP的预测误差输出程序。-using genetic algorithms optimizated BP neural network，he program has also prepared a simple BP s prediction function, as well as BP and GA_BP prediction error output of the program.
BP2
- 这是一种BP神经网络负荷预测模型 输入节点数较多-as