资源列表
朴素贝叶斯
- 调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB(DP, test_targets, CM) DP,三维数组,(i,j,k)为第k个样本的DP矩阵 targets 为 0 1 2 -process called CM = Confusion_matrix (train_predicts, train_targets) [combining
waveletpsoann_longchuan
- 可以用于预测的小波分解下的粒子群算法的神经网络预测-wavelet pso ann for predict
cva3
- 基于CVA+som的故障诊断,0为simple SOM,1为PCA+SOM, 2为CCA+SOM(CCA与PLS算法相同),3为LDA+SOM, -Based on CVA+ som fault diagnosis, 0 for the simple SOM, 1 for the PCA+ SOM, 2 for the CCA+ SOM (CCA and PLS algorithm the same), 3 for the LDA+ SOM,
natural-language-processing
- 自然语言处理词性还原器 将英文单词还原成原型-Natural language processing to restore part of speech is reduced to a prototype of the English word
ECM2
- DENFIS ONLINE MODEL SOURCE CODE
work
- 《神经网络与机器学习》simon Haykin著bp算法实现对双月数据的分类-" Neural networks and machine learning" simon Haykin bp algorithm with the classification of bi-monthly data
GA
- 用matlab实现遗传算法单目标优化问题,迭代次数选取不同,效果不同-Genetic algorithm using matlab to achieve a single objective optimization problem, select a different iterations, different results
SVM-KM
- 支持向量机,对数据进行预处理,使数据格式满足处理要求-support vector machine
GA
- 遗传算法(Genetic Algorithm)是一类借鉴生物界的进化规律(适者生存,优胜劣汰遗传机制)演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出,其主要特点是直接对结构对象进行操作,不存在求导和函数连续性的限定;具有内在的隐并行性和更好的全局寻优能力;采用概率化的寻优方法,能自动获取和指导优化的搜索空间,自适应地调整搜索方向,不需要确定的规则。遗传算法的这些性质,已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算
八数码问题
- 用 C++ 实现的八数 码问题的求解方法
elm_kernel
- 不同的核函数的elm,既包括分类算法,也包括回归,十分的全面,运行无错误!-Elm different kernel functions, including both classification algorithms, including regression, very comprehensive and error-free operation!
Max2()
- 遗传算法 java实现,可以根据需要自己改动-Genetic algorithm java implementation, you can change according to need their own