A Cascade Flexible Neural Forest Model for Cancer Subtypes Classification on Gene Expression Data

Table 2

Algorithm rules of flexible neural tree [26].

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(1) The output of the leaf node is the given input characteristic variable value

(2) The output of nonleaf node +M is , where, is the input of the current node, is the corresponding weight and is the bias of nodes

(3) The output of each node is treated as input to the node at the upper level to which it is connected

(4) Calculate the value of the output vector from the bottom up, from the leaf node to the root node

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