[Retracted] Using Android Platform for Conducting Ideological and Political Education in Colleges and Universities

Table 4

Algorithm parameter settings.

Evaluation model	Parameter settings
CS-ELM	Population size M = 10, maximum iteration times T = 100, discovery probability PR = 0.25, optimization variable range [−1, 1].
PSO-ELM	Particle swarm optimization algorithm (PS): population size 10, maximum iteration 100, learning factor C1 = 2 = 2 inertia weight W = 0.2.
GA-ELM	Genetic algorithm (GA): population size is 20, maximum iteration number is 200.
ELM	Hidden_num = 30