搜索资源列表
-
0下载：
extreme learning machine for training and predicting
-
-
0下载：
extreme learning machine
-
-
0下载：
extreme learning machine project
-
-
0下载：
robust extreme learning machine
-
-
0下载：
简单易学的机器学习算法——极限学习机(ELM)(Extreme Learning Machine)
-
-
0下载：
极限学习机(Extreme Learning Machine) ELM，是由黄广斌提出来的求解单隐层神经网络的算法(The matlab program of ELM developed by professor Huang)
-
-
0下载：
Extreme Learning Machine for soil erosion.
-
-
0下载：
极限学习机在电力系统中的应用，matlab代码，不包含数据(Application of extreme learning machine in power system)
-
-
0下载：
短期负荷预测的集成改进极端学习机方法，能有效提高预测(Short-term Photovoltaic Generation Forecasting Based on Similar Day Selection and Extreme Learning Machine)
-
-
1下载：
ELM（极限学习机）对序列进行预测，里面含有测试数据，可以运行，欢迎下载！(ELM (extreme learning machine) to predict the sequence, which contains test data, can run, welcome to download!)
-
-
4下载：
采用python语言实现极限学习机算法，数据三分类，加入数据可以跑通(Using python language to achieve extreme learning machine algorithm, data three classification, join data can run through)
-
-
4下载：
kerne online sequential Extreme learning machine
-
-
2下载：
利用极限学习机elm来进行分类，你值得拥有，这个程序是可以实现的，有问题，一起讨论。(Use extreme learning machine elm to classify, you deserve it, thank you for this platform, thank you.)
-
-
2下载：
利用极限学习机ELM来实现RFID室内定位(Implementation of RFID indoor positioning by using extreme learning machine ELM)
-
-
2下载：
FOA-ELM FOA算法优化极限学习机的MATLAB代码(FOA-ELM FOA algorithm to optimize MATLAB code for extreme learning machine)
-
-
2下载：
极限学习机（ELM算法）初级版本，包括训练和测试两个版本，数据：http://benchmark.ini.rub.de/?section=gtsrb&subsection=news(Extreme learning machine (ELM algorithm) preliminary version)
-
-
3下载：
可用作数据的拟合和分类。核极限学习机采用了核函数，将数据投射到高维空间分类(It can be used for data fitting and classification. Kernel extreme learning machine uses kernel function to project data onto high-dimensional space.)
-
-
1下载：
极限学习机的代码，机器学习，可以用于分类等.(Extreme learning machine used in classification)
-
-
4下载：
针对非线性预测问题，建立极限学习机的预测模型，将数据样本分为训练样本和测试样本，并采用误差指标进行评价。(Aiming at the problem of non-linear prediction, the prediction model of extreme learning machine is established. The data samples are divided into training samples and test samples, and the error i
-
-
1下载：
针对数据分类问题，提出了基于极限学习机的分类方法，将数据样本分为训练样本和测试样本，并采用准确率指标进行评价。(Aiming at the problem of data classification, a classification method based on extreme learning machine is proposed. The data samples are divided into training samples and test samples, and the
-
