-
数据挖掘各类代码:Apriori源代码全部
数据挖掘各类代码:Apriori源代码全部-Various types of data mining code: Apriori all source code
- 2022-02-02 23:18:26下载
- 积分:1
-
Apriori数据挖掘算法的C++实现,传统的算法Apriori
数据挖掘中Aprior算法的C++实现,采用的传统Aprior算法-Aprior data mining algorithms to achieve C, the traditional algorithm Aprior
- 2023-01-07 20:45:03下载
- 积分:1
-
标准遗传算法代码 simple genetic algorithms
标准遗传算法代码 simple genetic algorithms-simple genetic algorithms
- 2022-03-05 15:53:04下载
- 积分:1
-
用人工神经网络实现格林码的编码,通过对网络的训练实现,输入一串0/1码得到其格林码...
用人工神经网络实现格林码的编码,通过对网络的训练实现,输入一串0/1码得到其格林码-using artificial neural networks Green codes, the network through training, input string of 0/1 yards code to be its Green
- 2022-03-26 10:09:51下载
- 积分:1
-
JESS开发模式,人工智能开发架构
JESS开发模式,人工智能开发架构-JESS development model, the development of artificial intelligence structure
- 2022-10-14 16:30:03下载
- 积分:1
-
通过人工神经网络实现异或问题的解决,用visual c++开发
通过人工神经网络实现异或问题的解决,用visual c++开发-through artificial neural network or differences in the solution of problems with the development of visual c
- 2022-07-28 12:49:04下载
- 积分:1
-
粒子群算法的示例程序,不错。可用来进行函数优化、神经网络训练等。...
粒子群算法的示例程序,不错。可用来进行函数优化、神经网络训练等。-PSO algorithm sample program, yes. Available for function optimization, neural network training.
- 2022-11-02 06:50:03下载
- 积分:1
-
传算法伪代码实例,遗传算法中最重要的过程就是选择和交叉。...
传算法伪代码实例,遗传算法中最重要的过程就是选择和交叉。 -Examples of pseudo-code algorithm, genetic algorithm is the most important process of selection and crossover.
- 2022-01-31 08:32:52下载
- 积分:1
-
贝叶斯(Bayesion)机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演...
贝叶斯(Bayesion)机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion
- 2022-06-20 12:16:46下载
- 积分:1
-
一个很好的运作,包括线性分类;最小风险贝叶斯分类。
模式识别一份很好的作业,包括线性分类器;最小风险贝叶斯分类器;监督学习法分层聚类分析;K-L变换提取有效特征,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, support vector machines
- 2022-04-01 20:49:39下载
- 积分:1