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phd-elm2
- 一篇博士论文-关于极限学习机及其在系统辨识和建模方面中的应用。极限学习机是近年来出现的一种批处理学习的神经网络，值得研究-a phd thesis on the applicaiton in system identification of ELM, which is a newly developed learning machine
SVM
- Among learning Machine Support Vector Machine (SVM) is a powerful method to classify data, this is a useful book to learn SVM its basis.-Among learning Machine Support Vector Machine (SVM) is a powerful method to classify data, this is a useful book
ELM-Chinese-Brief
- 深度学习，超限学习机的中文简介，通过此文可以大概知道超限学习机的工作原理-Deep learning, learning machine overrun Chinese Introduction by this article can probably know works overrun learning machine
ELM-in-tumor-classification
- 提出了一种基于数据集分割的极限学习机集成算法——DS-E-ELM.-Extreme Learning Machine proposed integration algorithm DS-E-ELM dataset based segmentation.
Breast-lumps-detection-technology-
- 提出了一系列基于极限学习机的乳腺肿块检测技术。可以帮助影像科一是减少阅片时间。-A series based on Extreme Learning Machine breast mass detection technology. First Department of Radiology can help reduce the scoring time.
ELM.m
- matlab code of extreme learning machine Guangbin Huang -matlab code of extreme learning machine Guangbin Huang
ELM-(1)
- 极限学习机的源代码,主要是描述用于回归分析的极限学习，可以快速的实现大数据的预测-Extreme learning machine source code, mainly described for the regression analysis of the limit learning, you can quickly achieve large data prediction
2012.李航.统计学习方法
- 《统计学习方法》是计算机及其应用领域的一门重要的学科。《统计学习方法》全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。除第1章概论和最后一章总结外，每章介绍一种方法。叙述从具体问题或实例入手，由浅入深，阐明思路，给出必要的数学推导，便于读者掌握统计学习方法的实质，学会运用。为满足读者进一步学习的需要，书中还介绍了一些相关研究，给出了少量习题，列出了主要参考文
G mode
- G代码，通过学习后可深入对G代码认识，可熟练操作数控机床(G code, through learning, in-depth understanding of the G code, skilled operation of CNC machine tools)
matlab1
- 通过极限学习机对数据进行二分类，亲测有效好使(Two classifications of data by extreme learning machine.)