资源列表
EM
- 模式识别中的Expectation maximization算法的matlab源码-Expectation maximization algorithm
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
PCA
- 模式识别中独立成分分析算法的matlab源码-Principle component analysis
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
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
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.
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
bayes
- Text classification and clustering method: Bayesian clustering and classification of text classification and clustering
sapsoandclspso
- 混沌粒子群及自适应粒子群算法，需自行编译适应度函数-Chaos particle swarm and adaptive particle swarm optimization, the need to compile the fitness function
naive-bayes-spam-filter-master
- 基于朴素贝叶斯分类器写的垃圾邮件过滤系统-machine learning bayes
yhc
- 萤火虫算法是一种新的智能优化算法，用于寻找最优值，解决各种工程问题。-Firefly algorithm is a new intelligent optimization algorithms for finding the optimal value, solve engineering problems.
BP
- 典型的神经网络算法，含详细注释，供新手学习和借鉴-A typical neural network algorithm, with detailed notes, for beginners to learn from