搜索资源列表
elm
- 简单易学的机器学习算法——极限学习机(ELM)(Extreme Learning Machine)
ELM
- 用极限学习机作为负荷预测的模型，效果不错(Using the limit learning machine as the model of load forecasting, the effect is good)
ELM
- 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)
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)
ELM
- ELM极限学习机代码 包含example和训练预测代码(ELM code prediction train example)
ELM_MultiOutputRegression
- 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)
ELM
- 一种神经网络算法：极限学习机（ELM)，包括分类和回归，仿真验证无误，适合初学者练习(A data mining algorithm: limit learning machine (ELM), including classification and regression, simulation verification is unmistakable, suitable for beginners to practice)
PC_ELM
- 极限学习机的改进型，可用于降维和图像重构(Autoencoder With Invertible Functions for Dimension Reduction andImage Reconstruction)
elm
- 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!)
ELM
- 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)
PEW 2017(PLS-ANN-SVM-ELM-光谱数据处理)试用
- 偏最小二乘法-人工神经网络-支持向量机-极限学习机(This module contains PLS-ANN-SVM-ELM)
KOSELM-standalone
- kerne online sequential Extreme learning machine
ELM分类
- 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.)
regression
- 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)
FOA-ELM
- 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)
30个智能算法模型
- 1-8遗传算法，9 多目标Pareto最优解搜索算法，10 基于多目标Pareto的二维背包搜索算法，11-12免疫算法，13-17粒子群算法，18鱼群算法，19-21模拟退火算法，22-24蚁群算法，25-27神经网络，28 支持向量机的分类，29 支持向量机的回归拟合，30 极限学习机的回归拟合及分类(1-8 genetic algorithm, 9 multi-objective Pareto optimal solution search algorithm, 10 multi-obje
PSO_ELM
- 极限学习机是一类针对单层前馈神经网络设计的机器学习算法，其主要特点是隐含层节点参数可以是随机或人为给定的且不需要调整，学习过程仅需计算输出权重。ELM具有学习效率高和泛化能力强的优点，被广泛应用于分类、回归、聚类、特征学习等问题中。(Extreme learning machine for particle swarm optimization)
BA_ELM蝙蝠算法
- 蝙蝠算法优化极限学习机，简单易懂，可得到结果。(Bat algorithm optimizes extreme learning machine, which is simple and easy to understand and can get results.)
GA-ELM
- 遗传算法优化的极限学习机模型 采用水仙花基本特征数据集 效果比单纯的ELM模型要好(The effect of using daffodils basic feature data set in the extreme learning machine model optimized by genetic algorithm is better than that of ELM model only.)
VNWOA优化LSSVM
- 鲸鱼算法，PSO,GA,优化核极限学习机，(Whale algorithm, PSO, GA, optimized nuclear extreme learning machine,)