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multi-dimensional-particle
- 一维及二维数据粒子算法寻优,包括1)二维粒子算法参数寻优-替代网格寻优;2)一维数据粒子算法寻优(极值)。- One dimensional and two dimensional data particle algorithm optimization, including 1) two dimensional particle algorithm parameter optimization- alternative grid optimization 2) one dimens
SVM-KM
- 支持向量机与核学习工具箱,用于数据挖掘中核方法开发的必备工具,如支持向量机、极限学习机等。-Support vector machine (SVM) and nuclear learning toolkit for nuclear method development of necessary tools in data mining, such as support vector machine (SVM), extreme learning machine, etc.
ELM_样例
- 极限学习机(Extreme Learning Machine, ELM)用来训练单隐藏层前馈神经网络(SLFN)与传统的SLFN训练算法不同,极限学习机随机选取输入层权重和隐藏层偏置,输出层权重通过激活函数函数,依据Moore-Penrose(MP)广义逆矩阵理论计算解析求出。(Extreme learning machine (ELM) is used to train single hidden layer feedforward neural network (SLFN). Differe
