Using new artificial bee colony as probabilistic neural network for breast cancer data classification. Issue 2 (7th July 2021)

• Record Type: Journal Article
• Authors: Shah, Habib
• Is Part Of: Frontiers in engineering and built environment. Volume 1:Issue 2(2021)
• Page Start: 133
• Page End: 145
• Publication Date: 2021-07-07
• Subjects: New implementation of ABC -- Probabilistic neural network -- Breast cancer classification; Engineering; Civil engineering; Environmental engineering; Geotechnical engineering; Periodicals; 620
• DOI: 10.1108/FEBE-03-2021-0015
• Languages: English
• ISSNs: 2634-2499

Abstract

Abstract : Purpose: Breast cancer is an important medical disorder, which is not a single disease but a cluster more than 200 different serious medical complications. Design/methodology/approach: The new artificial bee colony (ABC) implementation has been applied to probabilistic neural network (PNN) for training and testing purpose to classify the breast cancer data set. Findings: The new ABC algorithm along with PNN has been successfully applied to breast cancers data set for prediction purpose with minimum iteration consuming. Originality/value: The new implementation of ABC along PNN can be easily applied to times series problems for accurate prediction or classification.