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

  • S. Gilbert Nancy
  • K. Saranya
  • S. Rajasekar
Conference paper
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)

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.

Keywords

Ant Bee Colony ANFIS Neuro-fuzzy SVM k-Nearest neighbor 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • S. Gilbert Nancy
    • 1
  • K. Saranya
    • 1
  • S. Rajasekar
    • 1
  1. 1.Department of Computer Science and EngineeringBannari Amman Institute of TechnologySathyamangalamIndia

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