Neuro-Fuzzy Ant Bee Colony Based Feature Selection for Cancer Classification

Abstract

A neuro-fuzzy expert system is multi-objective, which hybrids Ant Bee Colony (ABC) with Adaptive Neuro-Fuzzy Inference System (ANFIS) called NF-ABC, which improves the classification accuracy and reduces the complexity of dimensionality, redundancy, and irrelevant data. In this proposed work, SVM and kNN algorithms are used for classification to classify the given micro array data. The results revealed that the proposed model is more successful than the previous model.