-
MILK 提供了一个实现和比较multi
MILK 提供了一个实现和比较multi-instance学习算法的环境，基于weka机器学习系统（本站可以下载）-MILK provides a comparison and achieve multi-instance learning algorithm, based on machine learning system weka (site can be downloaded)
- 2022-01-30 10:15:52下载
- 积分：1
-
关于遗传算法的matlab 程序代码，或许对有些这方面的同仁有用...
关于遗传算法的matlab 程序代码，或许对有些这方面的同仁有用-on Genetic Algorithms Matlab code, perhaps some of us in this regard useful
- 2022-08-11 20:06:24下载
- 积分：1
-
这是用C语言编写的神经网络源程序，各种网络都有相应的C程序...
这是用C语言编写的神经网络源程序，各种网络都有相应的C程序-This is prepared by using C language source code neural networks, a variety of network have corresponding C procedures
- 2022-03-16 13:10:47下载
- 积分：1
-
c语言实现人工智能art1网络的算法实现
c语言实现人工智能art1网络的算法实现 -c language art1 network artificial intelligence algorithms
- 2023-02-16 18:20:04下载
- 积分：1
-
遗传算法神经网络，遗传算法神经网络遗传算法神经网络
遗传算法神经网络，遗传算法神经网络遗传算法神经网络-genetic algorithm neural networks, genetic algorithms neural networks, genetic algorithm, neural network
- 2022-02-16 01:19:49下载
- 积分：1
-
启发式搜索见cpp1.C文件，vc6.0环境运行实现
启发式搜索见cpp1.C文件，vc6.0环境运行实现-heuristic search cpp1.C see documents, achieving operating environment vc6.0
- 2022-12-11 16:40:03下载
- 积分：1
-
a Tankedaizhan source code, suitable for beginners VC, and I hope to help you!
一个坦克大战的源码，适合VC初学者，希望对大家有所帮助！-a Tankedaizhan source code, suitable for beginners VC, and I hope to help you!
- 2022-03-16 07:18:34下载
- 积分：1
-
他算法相当于Infomax贝尔和Sejnowski 1995 [ 1 ]利用最大。
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization.
The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
- 2023-08-15 10:45:03下载
- 积分：1
-
这是一个神经网络的开发工具
这是一个神经网络的开发工具-This is a neural network development tools
- 2022-06-14 16:48:46下载
- 积分：1
-
基于matlab的改进模拟退火算法（经典）
基于matlab的改进模拟退火算法（经典）-Matlab-based improvements in simulated annealing algorithm (classical)
- 2022-02-10 13:47:03下载
- 积分：1
