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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
Review on Selection of Optimum Features for Neural Network Using Genetic Algorithm in Classification of Brain Computer Interface Data
Authors
Mayuri Thorat, Shraddha V. Pandit, Atharva S. Patil
Keywords
Brain-Computer Interface, Genetic Algorithm, Feature Selection, Neural Network, Classification, Electroencephalography
Abstract
Technology known as the Brain-Computer Interface (BCI) has attracted a lot of interest because it has the potential to enable direct brain-to-device communication. The selection of pertinent features that capture the underlying brain activity patterns is a crucial element of efficient BCI data classification. The use of genetic algorithms (GAs) in conjunction with neural networks for feature selection in BCI data classification is thoroughly discussed in this review study. We talk about the importance of feature selection, describe how to combine GAs and neural networks, review pertinent literature, and emphasize the advantages and difficulties of this strategy. We provide insights on the developments, uses, and potential future directions of this approach in the context of BCI research by synthesizing the body of available material.
IJCRT's Publication Details
Unique Identification Number - IJCRT2308635
Paper ID - 243302
Page Number(s) - f852-f857
Pubished in - Volume 11 | Issue 8 | August 2023
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Mayuri Thorat, Shraddha V. Pandit, Atharva S. Patil, "Review on Selection of Optimum Features for Neural Network Using Genetic Algorithm in Classification of Brain Computer Interface Data", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 8, pp.f852-f857, August 2023, Available at :http://www.ijcrt.org/papers/IJCRT2308635.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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