Virual Oral Presentation Slide by Slide

IEEE/ICACT20210147 Slide.06        [Big Slide]	Oral Presentation
	The training phase of RC can be divided into two steps. In step 1, temporal training data is injected into the state update equation to obtain the corresponding reservoir state stepwise. In the state update equation, u(n) stands for the input at time n, ес for the leaking rate, f for the nonlinear function, x(n) for the reservoir state. In step 2, we use the reservoir state collected in step 1 and the corresponding ground truth to calculate the weights between the reservoir layer and the output layer. Ridge regression is used here to avoid over fitting.

[Go to Next Slide]

Select Voice: Virtual Oral Presentation!!