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, in the beginning, randomly given W and b values, the calculated H (output nodes), and remained unchanged, only need to determine the parameters of the beta. This is a very important theoretical basis.

Filename	Size	Update
07 极限学习机（Extreme Learning Machine	ELM）\Class_7.pdf	541530	2017-09-14
07 极限学习机（Extreme Learning Machine	ELM）\Class_7_Code.rar	205830	2017-09-14
07 极限学习机（Extreme Learning Machine	ELM）	0	2018-01-26

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