… Negative networks49 and modified convolutional neural … with 3 breast cancer datasets:
Wisconsin Original Breast Cancer (… feature selection technique for the detection of breast cancer, …

… to modify the Firefly Algorithm (FA) along with the Correlation-based Feature Selection (CFS)
filter for the gene selection … application in feature selection on big datasets such as cancer …

… a feature selection algorithm to the cancer dataset of features in … available publicly to modify
the problem of selecting features … (Wisconsin) dataset, which are a very good amount for our …

… selection methods) and 90% (with applying feature selection … search operators along with
modified BAT algorithm. In this … the Wisconsin Diagnostic Breast Cancer (WDBC) datasets …

… In this section original (basic) bat algorithm and modified bat algorithm for ETP are … Modified
bat algorithm for feature selection with the wisconsin diagnosis breast cancer (wdbc) dataset…

… Veluchamy, “Modified bat algorithm for feature selection with the wisconsin diagnosis breast
cancer (wdbc) dataset,” Asian Pacific journal of cancer prevention : APJCP, vol. 18, no. 5, pp…

… Feature selection (FS) is a method that aims to choose the minimum required features that
can represent a dataset by selecting … A total of 651 breast cancer screenings were produced …

… Cancer patient data was collected from Wisconsin dataset of … modified an evolutionary
based optimization algorithm … and Vowel datasets is K-Flod method, and that of the WDBC, …

… neural network and binary bat algorithm with a novel fitness … optimal feature selection and
a modified bat algorithm with … with the Wisconsin Diagnosis Breast Cancer (WDBC) Dataset…

… algorithm, 1 bat algorithm (BA), 2 slime mould algorithm (… to modify the parameters dynamically
at each iteration of the … seven algorithms 10 times to the FS problem on each dataset and …