A Novel Adaptive Mutation PSO Optimized SVM Algorithm for sEMG-Based Gesture Recognition

Algorithm 3

The algorithm for searching parameters.

	Initialize:
	Set the position parameter according to formula (7);
	Set the speed parameter according to formula (8);
	while to maximum iterations do
	Calculate the initial and , according to the classification accuracy of SVM cross validation;
	Calculate the mutation probability of the current generation of particles according to (9);
	Update the position and velocity of each particle in the population according to (7)-(8);
	Perform particle mutation according to the rules;
	Update the individual optimal position and the population optimal position according to the fitness of particles;
	end while
	Output optimal structure and .