资源列表
[书籍源码] chapter15_0
说明: svm 的参数优化,利用交叉验证法选择最优参数c g,最终提高训练集的分类准确率,更好的提高分类器性能-Svm parameter optimization, the use of cross-validation method to the optimal parameter c g, and ultimately improve the training set classification accuracy,better im<赵珂> 在 2025-03-23 上传 | 大小:1kb | 下载:0
[书籍源码] chapter15_PSO
说明: svm 的参数优化,利用pso(粒子群优化算法)选择最优参数c g,最终提高训练集的分类准确率,更好的提高分类器性能-Svm parameter optimization, the use of pso (particle swarm optimization algorithm) to the optimal parameter c g, and ultimately improve the training set classi<赵珂> 在 2025-03-23 上传 | 大小:1kb | 下载:0
[书籍源码] chapter15_GA
说明: svm 的参数优化,利用ga(遗传优化算法)选择最优参数c g,最终提高训练集的分类准确率,更好的提高分类器性能-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the accuracy of the training set<赵珂> 在 2025-03-23 上传 | 大小:2kb | 下载:0
[书籍源码] gaSVMcgForClass
说明:svm 的参数优化,利用ga(遗传优化算法)选择最优参数c g,最终提高训练集的分类准确率,更好的提高分类器性能,这是ga的功能函数源码-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the training set class<赵珂> 在 2025-03-23 上传 | 大小:1kb | 下载:0
[编辑器/阅读器] myMatlab-code
说明:In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs. Thi<ibra> 在 2025-03-23 上传 | 大小:14kb | 下载:0
[编辑器/阅读器] ypea104-acor
说明:continuous ACO. In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths throug<ibra> 在 2025-03-23 上传 | 大小:7kb | 下载:0
[易语言编程] Myth-speed-browser
说明:神话极速浏览器,Myth speed browser -Myth speed browser<qq505337> 在 2025-03-23 上传 | 大小:390kb | 下载:0