Extreme learning machine (ELM) is used to train single hidden layer feedforward neural network (SLFN). Different from traditional SLFN training algorithm, elm randomly selects input layer weight and hidden layer bias, and output layer weight is calculated and analyzed according to Moore Penrose (MP) generalized inverse matrix theory through activation function function function.

Filename	Size	Update
ELM_样例.py	4980	2020-08-09

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