Classification using Modified PSO Incorporating Probabilistic MH for Improved Convergence
نویسندگان
چکیده
M. Balasaraswathi, B. Kalpana ABSTRACT Classification has its roots deep inside the area of prediction and analytics. Performing effective classification can provide huge advantages and improvements in several area. The huge downsides are the unavailability of enhanced techniques and the huge time consumption associated with several machine learning techniques. This paper presents a metaheuristic method based on a modified form of PSO that tends to provide better accuracies within acceptable time limits.
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تاریخ انتشار 2015