FNN for Diabetic Prediction Using Oppositional Whale Optimization Algorithm-Reference-Cited by-同舟云学术

FNN for Diabetic Prediction Using Oppositional Whale Optimization Algorithm

Published:2024 Issue: Volume:12 Page:20396-20408
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chatterjee Rajesh¹^ORCID,Akhtar Mohammad Amir Khusru¹^ORCID,Pradhan Dinesh Kumar²^ORCID,Chakraborty Falguni²^ORCID,Kumar Mohit³^ORCID,Verma Sahil⁴^ORCID,Khurma Ruba Abu⁵,García-Arenas Maribel⁶^ORCID

Affiliation:

1. Faculty of Computing & IT, Usha Martin University, Ranchi, India

2. Dr. B. C. Roy Engineering College, Durgapur, India

3. Department of IT, MIT Art, Design and Technology University, Pune, India

4. Department of Computer Science and Engineering, Chandigarh Group of Colleges, Jhanjeri, Mohali, Punjab, India

5. Faculty of Information Technology, MEU Research Unit, Middle East University, Amman, Jordan

6. Department of Computer Engineering, Automatics and Robotics, University of Granada, Granada, Spain

Funder

Ministerio Espa?ol de Ciencia e Innovaci?n

C?tedra de Empresa Tecnolog?a para las Personas

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10413451.pdf?arnumber=10413451

Reference38 articles.

1. Introduction to multi-layer feed-forward neural networks

2. Feed-forward neural networks

3. Computer vision detection of defective apples using automatic lightness correction and weighted RVM classifier

4. Character level embedding with deep convolutional neural network for text normalization of unstructured data for Twitter sentiment analysis

5. An Improved Quantum-Inspired Genetic Algorithm for Image Multilevel Thresholding Segmentation