资源列表
GA
- 各种遗传算法程序 1>myGA(基本遗传算法解决一维约束规划问题) 2>SBOGA(顺序选择遗传算法求解一维无约束优化问题) 3>NormFitGA(动态线性标定适应值的遗传算法求解一维无约束优化问题) 4>GMGA(大变异遗传算法求解一维无约束优化问题) 5>AdapGA(自适应遗传算法求解一维无约束优化问题) 6>DblGEGA(双切点遗传算法求解一维无约束优化问题) 7>MMAdapGA(多变异位自适应遗传算法求解一维无
BP_ANN-matlab
- BP神经网络，用于函数逼近。程序中先用一定间隔的函数数值对神经网络进行训练，待算法大致收敛后，然后用测试数据进行测试。并输出函数逼近的误差-BP feed-forward backpropagation network，which is used to approximate function.
PSO
- 各种粒子群或改进型粒子群算法 1）粒子群优化算法(求解无约束优化问题) 1>PSO(基本粒子群算法) 2>YSPSO(待压缩因子的粒子群算法) 3>LinWPSO(线性递减权重粒子群优化算法) 4>SAPSO(自适应权重粒子群优化算法) 5>RandWSPO(随机权重粒子群优化算法) 6>LnCPSO(同步变化的学习因子) 7>AsyLnCPSO(异步变化的学习因子)(算法还有bug) 8>SecPSO(用二阶粒
GA
- 以求f(x)=10*sin(5x)+7*cos(4x) x∈[0,10]最大值为例，详细讲解并实现了遗传算法各个阶段的编程 -Take to solve the maximum of f(x)=10*sin(5x)+7*cos(4x) x∈[0,10] for example, to explain in detail the various stages of the programming and implementation of Genetic Algorithms
PCA
- 模式识别中独立成分分析算法的matlab源码-Principle component analysis
ICA
- 模式识别特征提取中的独立成分分析算法的matlab源码-Independent component analysis
k_means
- 模式识别与人工智能中k均值算法的matlab源码-Compute k means for the data using the k_means algorithm
EM
- 模式识别中的Expectation maximization算法的matlab源码-Expectation maximization algorithm
Ada_Boost
- 模式识别中AdaBoost算法在matlab中实现-adaboost algorithm
AI3
- 聊天机器人程序demo delphi写的可以对话-talk ai robot
Happy-old-man-piece
- 聊天机器人程序可以较好的和人对话Demo-ai talk auto
Students-classification-with-adaptive-neuro-fuzzy
- Abstract— Identifying exceptional students for scholarships is an essential part of the admissions process in undergraduate and postgraduate institutions, and identifying weak students who are likely to fail is also important for allocating limite