[Retracted] Recognition of Hand Gesture Using Electromyography Signal: Human-Robot Interaction
Algorithm 1
Random Forest for classification
For b =1 to B:
For a =1 to A:
(a) Inducement a boostrap model Z, which of the size N derived from training samples
(b) Develop a RFT Tr b to the bootstrapped information, by recursively rehashing the subsequent phases for every terminal hub of the tree, till the smallest node scope nmin is collected
1) choose the m variables at arbitrary
2) select the finest variables
3) Divide the nodes into 2 sub nodes
2. Produce the ensemble tree A.
To make an expectation at another point x:
Regression:
Classification: Wb(x) be the class expectation of the RFT, it cab be written as,
