Sparse-Coding-Based Autoencoder and Its Application for Cancer Survivability Prediction

Table 2

Parameters for the proposed SRA algorithm.

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(i) Activation function is Relu;

(ii) Maximum number of training iterations is 200;

(iii) Stopping threshold is 0.001;

(iv) Regularization parameters and are 0.3.

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