搜索资源列表
B-ELM
- Bidirectional extreme learning machine - B-ELM Y. Yang, Y. Wang, and X. Yuan, "Bidirectional extreme learning machine for regression problem and its learning effectiveness," IEEE Transactions on Neural Networks and
Weighted-ELM-Codes-for-Binary-Problems
- Weighted ELM for imbalanced datasets - Weighted-ELM W. Zong, G.-B. Huang, and Y. Chen, “Weighted extreme learning machine for imbalance learning,” Neurocomputing, vol. 101, pp. 229-242, 2013.
B-ELM
- Bidirectional extreme learning machine for regression problem and its learning effectiveness的源代码-the source code of "Bidirectional extreme learning machine for regression problem and its learning effectiveness"
B-ELM
- B_ELM 极限学习机算法 包含demo-B_ELM 极限学习机算法 包含demo
B-ELM
- bidirectional elm matlab code
B-ELM
- bidirectional extreme learning machine
ELM分类器
- ELM是基于深度学习的分类器，运算速度快。 在B_data.m里导入待分类矩阵B.mat（1-n列为特征值，n列为标签）；运行B_data.m；再打开fuzzyEn_main.m并运行即可。(ELM is based on depth learning classifier, computing speed. In B_data.m imported matrix to be classified B.mat (1-n as eig
B-ELM
- 黄广斌老师提出的算法，内附介绍该算法的文章(matlab codes for B-ELM)
07 极限学习机（Extreme Learning Machine, ELM）
- ELM算法指出，其实隐层的权值矩阵W和偏置b其实是没有必要调整的，在学习算法开始时，任意随机给定W和b的值，利用其计算出H（隐层节点的输出），并令其保持不变，需要确定的参数就只有β了。这是一个比较重要的理论基础。(The ELM algorithm is pointed out, in fact, hidden layer weights matrix W and B is not necessary to adjust the bia
B-ELM
- 改进的极限学习机算法，具有更好的预测性能和稳定性(Improved limit learning machine algorithm)