资源列表
isda
- 由Te-Ming Huang 和 Vojislav Kecman共同开发的使用Kernel machines a.k.a support vector machines 技术的机器学习软件。-ISDA is an efficient software for solving large-scale machine learning problems by using so-called kernel machines a.k.a support vector machines.
SemiL
- 利用基于图的分类方法， 半监督学习 ，分类软件。-SemiL is efficient software for solving large scale semi-supervised learning or transductive inference problems using graph based approaches.
sfdq
- 算法大全一到三十章完全版。各种算法的原理、算例，包括线性规划、模糊、神经网络、经验分解等等。-Algorithm Daquan one to thirty chapter full version. The principle of various algorithms, examples, including linear programming, fuzzy, neural network, experience decomposition and so on.
yichuansuanfa
- 代码主要讲解的是遗传算法的实际应用，在地震勘探资料处理应用中有较实际的意义-Code is mainly to explain the practical application of genetic algorithms in seismic data processing applications in a more practical significance
10.1.1.110.2008
- adaptive ant colony algorithm
Ant-Colony-Optimization-algorithms
- ant colony optimization algorithms
78d4995dd9c4
- ant colony optimization algorithms applied.
booktwo
- 利用matlab软件 实现基本的遗传算法-Basic matlab software using genetic algorithm
PersonalizedRecomAlgSocialNetwork
- 针对用户在社区网络中面对海量的信息和资源，如何快速便捷地获得自己感兴趣内容的问题，提出一 种基于社区网络内容的个性化推荐算法。在得到相同兴趣用户聚类的基础上，该算法首先通过用户访问日志信 息挖掘相似内容推荐项，然后根据用户兴趣挖掘新的内容推荐项。实验结果表明，该算法不仅提高了内容推荐 精度，而且扩展了内容覆盖面。-Network for users in the community in the face of a flood of information and resources
ELM
- 基于传统支持向量机(sVM)训练速度慢、参数选择难等问题，提出了基于极限学习机(ELM)的岩性识别。该算法是一种新的单隐层前馈神经网络(sLFNs)学习算法，不但可以简化参数选择过程，而且可以提高网络的训练速度。-Based on the traditional support vector machine (sVM) training is slow, difficult issues such as parameter selection, extreme learning machine
ELM-NN
- 基于极限学习机(ELM)的岩性识别。该算法是一种新的单隐层前馈神经网络(sLFNs)学习算法，不但可以简化参数选择过程，而且可以提高网络的训练速度。-Based on the traditional support vector machine (sVM) training is slow, difficult issues such as parameter selection, extreme learning machine is proposed based on (ELM) of li
job-scheduling-with-genetic-algorithms
- Job scheduling with genetic algorithms in R programming language