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 Learning Systems, Vol. 23, pp.
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 eigenvalues, n as a label); Run B
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 bias of the learning algorithm, i
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)