A Novel Ant Colony Based Genetic Approach Neural Learning for Defect Prediction in Software Products-Reference-Cited by-同舟云学术

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A Novel Ant Colony Based Genetic Approach Neural Learning for Defect Prediction in Software Products

Published:2024-02-09 Issue: Volume:128 Page:330-337
ISSN:
Container-title:2024 International Conference on Emerging Systems and Intelligent Computing (ESIC)
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Author:

Gurram Rajendra¹,Babu Reddy M²,Tummala Bindu Madhavi³,Phaneendra K¹,Ashok Reddy P⁴,Durga Prasad D⁵

Affiliation:

1. LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING,Department of IT,Mylavaram,India

2. Krishna University,Department of Computer Science,Machilipatnam,India

3. VR Siddhartha Engineering College,Department of CSE,Vijayawada,India

4. LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING,Department of CSE,Mylavaram,India

5. PSCMR College of Engineering and Technolony,Department of CSE,Vijayawada,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10481518/10481530/10481623.pdf?arnumber=10481623

Reference15 articles.

1. Taxonomy of Adaptive Neuro-Fuzzy Inference System in Modern Engineering Sciences

2. Application of adaptive neuro-fuzzy inference system and response surface methodology in biodiesel synthesis from jatropha–algae oil and its performance and emission analysis on diesel engine coupled with generator

3. Time Series Prediction of Electricity Demand Using Adaptive Neuro-Fuzzy Inference Systems

4. Multi‐adaptive neuro‐fuzzy inference system modelling for prediction of band‐notched behaviour of slotted‐UWB antennas optimised using evolutionary algorithms

Security Risk Assessment of Healthcare Web Application Through Adaptive Neuro-Fuzzy Inference System: A Design Perspective

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