资源列表
Boosting-beta2
- AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.
BNT_StructureLearning_v1.4.tar
- bayesian network structrue learning matlab program -bayesian network structrue learningmatlab program
Clementine
- 这是一本介绍如何使用Clementine来进行数据挖掘的资料，讲解非常详细。-This one describes how to use the Clementine data mining information, to explain in great detail.
The-grey-system-theory
- 灰色系统理论 根据少量的历史数据就可以较为精确的预测出未来短期内的数值-Gray system theory based on a small amount of historical data can be more accurate prediction of the future value of the short-term
Kernel-Methods
- 模式分析Mode analysis的核方法书中的源代码-Mode analysis of the nuclear method source code
ANN-using-Acoustic-features
- extraction of acoustic features for the pattern recognition using AI
13c-2145-1-3c
- It s an implementation about the vigene crypt method
Particle--to-solve-uc
- 针对当前科技水平不足以有效存储电力的情况下产生的发电机机组组合的问题，考虑负荷平衡、输电线传输容量限制等实际情况产生的约束条件，建立机组组合优化模型，以获得最小的生产成本与给定的调度。-In view of the current level of science and technology would not effective storage power generator unit combination problem, considering the load balance, su
DemoProject_DLwCNN
- 关于深度学习下的卷积神经网络的实验，有具体分析和实验步骤及要实现的内容(experiments on deep learing with Cov.Neural Network)
GA
- 文件中包含某老师关于智能优化计算课程中的遗传算法部分的讲义，其中包含详细的例子及源代码。-File contains a calculation of the teachers on the intelligent optimization of the genetic algorithm curriculum part of the lecture, which includes detailed examples and source code.
machine-learning-3
- 机器学习算法之EM与K-MEANS，经典的机器学习的外文资料，该资料描述详细，便于大家的学习。-The EM machine learning algorithms with K-MEANS, classical machine learning foreign language information, the information described in detail, easy to learn from everyone.
jian_pso
- 这是一个用c++语言写的粒子群优化算法，算法含有详细的说明-This is a c++ language used to write the particle swarm optimization algorithm, the algorithm contains a detailed descr iption of