A fuzzy integral method based on the ensemble of neural networks to analyze fMRI data for cognitive state classification across multiple subjects-Reference-Cited by-同舟云学术

A fuzzy integral method based on the ensemble of neural networks to analyze fMRI data for cognitive state classification across multiple subjects

Published:2016-12 Issue:04 Volume:15 Page:593-606
ISSN:0219-6352
Container-title:Journal of Integrative Neuroscience
language:en
Short-container-title:J. Integr. Neurosci.

Author:

Cacha L. A.¹,Parida S.²,Dehuri S.³,Cho S.-B.⁴,Poznanski R. R.⁵

Affiliation:

1. Laser Center, Faculty of Science, Ibnu Sina Institute for Scientific Industrial Research (ISI-SIR), Universiti Teknologi, Malaysia

2. Carrier Software and Core Network Department, Huawei Technologies India Pvt Ltd Near EPIP Industrial Area, Whitefield Bangalore – 560 066, Karnataka, India

3. Department of Systems Engineering, Ajou University, San 5, Woncheon-dong, Yeongtong-gu, Suwon 443-749, South Korea

4. Department of Computer Science, Yonsei University Seoul, South Korea

5. Department of Clinical Sciences, Faculty of Biosciences and Medical Engineering, Universiti Teknologi, Malaysia 81310 Johor Bahru, Johor, Malaysia

Publisher

World Scientific Pub Co Pte Lt

Subject

General Medicine,General Neuroscience

Link

http://www.worldscientific.com/doi/pdf/10.1142/S0219635216500345

Reference18 articles.

1. A New Technique for Combining Multiple Classifiers using The Dempster-Shafer Theory of Evidence

2. Fusion of neural networks with fuzzy logic and genetic algorithm

3. Neuro-fuzzy-combiner: an effective multiple classifier system

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