资源列表
Extreme-nonlinear-function
- 用函数输入输出数据训练BP神经网络,使训练后的网络能够拟合非线性函数输出,保存训 练好的网络用于计算个体适应度值。根据非线性函数方程随机得到该函数的4000组输入输出数据,存储于data中,其中input为函数输入数据,output为函数对应输出数据,从中随机抽取3900组训练数据训练网络,100组测试数据测试网络拟合性能。最后保存训练好的网络。-With the function input and output data to train BP neural network, so th
OnlineSVR-Matlab-2006b-Code
- Online SVR工具箱，实现对数据的在线回归和分类。-Online SVR toolbox to achieve the online data regression and classification.
C_SelfAdapt_fcm
- 自适应模糊C均值聚类的MATLAB源代码，自适应确定聚类个数。-Adaptive Fuzzy C-Means clustering MATLAB source code, adaptive determine the number of clusters.
AFSA
- 人工鱼群算法C++源代码，可与蚁群、粒子群算法对比。-AFSA C++ source code, which can contrast with ACO, PSO.
2013-06-30-02QPSO
- 通过量子粒子群（QPSO）算法设计自抗扰控制器并整定参数，通过程序的仿真结果可知量子粒子群算法具有很好的效果-By Quantum Particle Swarm (QPSO) algorithm design ADRC and tuning parameters, through the process of simulation results shows that the quantum particle swarm algorithm has a good effect
2013-06-30-05ADRC
- 基于免疫粒子群优化算法整定自抗扰控制器的参数，算法简单，程序可行。-Based on immune particle swarm optimization algorithm tuning the parameters of ADRC, the algorithm is simple, the program is feasible.
book2
- 股票软件开发定制DEMO说明,是一套进行各种证券分析的系统，功能强大、操作方便、界面友好，支持互联网接收实时行情，提供独特的指标参数，辅助您决策投资品种，适合各类证券投资者使用。-Stock software development and customization DEMO descr iption is a set of various securities analysis system, powerful, easy to operate, user-friendly, support
Large-Scale-Metric-Learning
- 经典机器学习方法Large Scale Metric Learning的matlab代码-Classical machine learning methods Large Scale Metric Learning matlab code
double-bp
- 自己做的双输出BP神经网络，参考过大神作品，自己改进，嵌入了excel读取功能-Do their own dual output BP neural network, reference works great God, their improvement, embedded excel read function
Robotic-trajectory
- matlab机器人 生成空间轨迹包络图 形成2个完整的包络图-matlab generating space robot trajectory envelope forming two complete envelope
ELM_kernel
- 基于极限学习机的不平衡数据集分类，性能极好，且速度较快-Based on extreme learning machine for imbalanced data sets classification, excellent performance, and faster
FCM
- 模糊c均值FCM算法源码，用matlab编写，注释的很详细，通过编译，供参考-FCM fuzzy c-means algorithm source code, using matlab prepared very detailed comments by the compiler, for reference