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ELM算法matlab实现
- 神经网络ELM的matlab实现
ELM
- 基于matlab的极速学习机ELM的分类和回归算法-The speed of learning machine based on matlab classification and regression algorithm ELM
elm
- 极速学习机,可以做模型预测、评价，比BP神经网络更优。-Fast learning machine, you can do the model prediction, evaluation, better than BP neural network.
FOA-ELM
- 算法思想是：1） 根据果蝇优化算法得到极速学习机隐层神经元的数目；2） 依据得到的隐层神经元数目和极限学习机的方法对训练样本和测试样本进行训练学习。只要打开fruitfly_elm.m文件运行即可，可以换数据集 -Algorithm idea is: 1) according to the number of flies speed machine learning algorithm to obtain the hidden laye
ELM
- 极速学习机，提供了新选择 速度大大优于SVM 效果比SVM略差-Extreme Learning Machine
ORELM_v1.0
- 极限学习机\极速学习机\鲁棒ELM代码 matlab代码 离群值鲁棒极速学习机文章Zhang, Kai, and Minxia Luo. Outlier-robust extreme learning machine for regression problems. Neurocomputing 151 (2015): 1519-1527.的matlab代码-Matlab codes of the following paper:
ESRC_classifier_v1.1
- 极限学习机\极速学习机\ELM 稀疏表示人脸识别\稀疏表示\L0范数求解 基于ELM与稀疏表示的混合人脸识别算法 AR人脸识别准确率95 . 文章:Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engin
elm1
- 基于matlab平台实现elm（极速学习机）算法，进行分类预测或回归-Based on matlab platform elm (speed learning machine) algorithm to classify predict or return
47821364121
- 根据果蝇优化算法得到极速学习机隐层神经元的数目依据得到的隐层神经元数目和极限学习机的方法对训练样本和测试样本进行训练学习。-According to the fruit flies optimization algorithm to get extreme learning machine based on the number of hidden layer neurons of hidden layer neurons number