资源列表
[人工智能/神经网络/遗传算法] MIL-Ensemble
说明:This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with<wsy> 在 2024-11-13 上传 | 大小:3.86mb | 下载:0
[人工智能/神经网络/遗传算法] annEXAMPLE
说明:BP神经网络算法,采用遗传算法训练具有7个隶属函数的FNN控制器权值的程序等-BP neural network algorithm, using genetic algorithm training with seven membership function of the FNN controller weighting procedures<肖平> 在 2024-11-13 上传 | 大小:5kb | 下载:0
[人工智能/神经网络/遗传算法] SA
说明:模拟退火基本模块,其中在尺度变换部分应用到了类似模拟退火算法部分,所有变量均使用汉语拼音很好懂-Simulated Annealing basic module, in which part of the scale transformation is applied to a similar part of simulated annealing algorithm, all variables are very good to un<desun> 在 2024-11-13 上传 | 大小:5kb | 下载:0
[人工智能/神经网络/遗传算法] NeC45
说明:NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than standard C4.5 decision trees, through regarding a neural network ensemble as a pre-process of C4.5 decision tree.<> 在 2024-11-13 上传 | 大小:8kb | 下载:0
[人工智能/神经网络/遗传算法] 2004122622118398
说明:关于粒子群优化算法的实现.使用java语言实现。-On the Particle Swarm Optimization Algorithm. Using java language.<gzjj> 在 2024-11-13 上传 | 大小:125kb | 下载:0
[人工智能/神经网络/遗传算法] A_Consensus_PLS
说明:一个介绍基于共识策略的cPLS文档,该方法具有更高的预测精度,由于传统PLS方法。有实例-A consensus-based strategy to introduce cPLS documents, the method has higher prediction accuracy, because of the traditional PLS method. There are examples of<zhangwei> 在 2024-11-13 上传 | 大小:36kb | 下载:0
[人工智能/神经网络/遗传算法] jqbyjqsssfdyj
说明:机器博弈机器搜索算法的研究,做acm与人工智能的可以参考下-Machine Game Machine search algorithm research, acm to do with artificial intelligence can refer to the next<caihaibin> 在 2024-11-13 上传 | 大小:53kb | 下载:0
[人工智能/神经网络/遗传算法] jiandandeyichuansuanfa
说明:一个简单的遗传算法源代码。。。。。代码保证尽可能少,实际上也不必查错-A simple genetic algorithm source code. . . . . Code to ensure that as little as possible, in fact, do not have error checking<sp> 在 2024-11-13 上传 | 大小:9kb | 下载:0
[人工智能/神经网络/遗传算法] Cmonihuaduojinhua
说明:实现了一个简单的花朵进化的模拟过程。 花朵的种群数量是10,共进化了50代。 -The realization of a simple simulation of the evolution of flowers. Flower populations is 10, a total of 50 on behalf of evolution.<sp> 在 2024-11-13 上传 | 大小:6kb | 下载:0