EAN: 9783960671220

COMPREHENSIVE ANALYSIS OF SWARM BASED CLASSIFIE...

This project presents the performance analysis of Particle swarm optimization (PSO)  hybrid PSO
and Bayesian classifier to calculate the epileptic risk level from electroencephalogram (EEG)
inputs. PSO is an optimization technique which is initialized with a population of random
solutions and searches for optima by updating generations. PSO is initialized with a group of
random particles (solutions) and then searches for optima by updating generations. Hybrid PSO
differs from ordinary PSO by calculating inertia weight to avoid the local minima problem.
Bayesian classifier works on the principle of Bayes' rule in which it is the probability based
theorem. The results of PSO  hybrid PSO and Bayesian classifier are calculated and their
performance is analyzed using performance index  quality value  cost function and
classification rate in calculating the epileptic risk level from EEG.

Aktuelle Preise zur EAN 9783960671220

Produktinformationen zur 9783960671220