PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data-Reference-Cited by-同舟云学术

PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data

Published:2017 Issue: Volume: Page:411-419
ISSN:0302-9743
Container-title:Artificial Neural Networks and Machine Learning – ICANN 2017
language:
Short-container-title:

Author:

Cheruku Ramalingaswamy,Edla Damodar Reddy,Kuppili Venkatanareshbabu,Dharavath Ramesh

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-68612-7_47

Reference19 articles.

1. Assal, J., Groop, L.: Definition, diagnosis and classification of diabetes mellitus and its complications. World Health Organization, pp. 1–65 (1999)

2. Bozkurt, M.R., Yurtay, N., Yilmaz, Z., Sertkaya, C.: Comparison of different methods for determining diabetes. Turk. J. Electr. Eng. Comput. Sci. 22(4), 1044–1055 (2014)

3. Amato, F., López, A., Peña-Méndez, E.M., Vaňhara, P., Havel, J.: Artificial neural networks in medical diagnosis. J. Appl. Biomed. 11, 47–58 (2013)

4. Fukuoka, Y.: Artificial neural networks in medical diagnosis. In: Schmitt, M., Teodorescu, H.N., Jain, A., Jain, A., Jain, S., Jain, L.C. (eds.) Computational Intelligence Processing in Medical Diagnosi, pp. 197–228. Springer, Heidelberg (2002). doi: 10.1007/978-3-7908-1788-1_8

5. Yegnanarayana, B.: Artificial Neural Networks. PHI Learning Pvt. Ltd., Delhi (2009)

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BT-CNN: a balanced binary tree architecture for classification of brain tumour using MRI imaging;Frontiers in Physiology;2024-04-11

2. A Novel Low-Energy and Low-Latency Clustering Method for Large-Scale Sensor Network;2023 9th International Conference on Mechanical and Electronics Engineering (ICMEE);2023-11-17

3. Classification model of machine learning for medical data analysis;Statistical Modeling in Machine Learning;2023

4. Diverse activation functions based-hybrid RBF-ELM neural network for medical classification;Evolutionary Intelligence;2022-07-20

5. Weld Quality Prediction of PAW by Using PSO Trained RBFNN;Lecture Notes in Mechanical Engineering;2020