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Mental Disorder Diagnosis from EEG Signals Employing Automated Leaning Procedures Based on Radial Basis Functions paper by Independent / Community
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Paper

Mental Disorder Diagnosis from EEG Signals Employing Automated Leaning Procedures Based on Radial Basis Functions

by Independent / Community 0022d7788ef3445ed4b1b047c4b39efe2fe2845a
Free2AITools Nexus Index
66.2
S: Semantic 50

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A: Authority 77
P: Popularity 53
R: Recency 100
Q: Quality 65
Tech Context
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In this paper, a new automated procedure based on deep learning methods for schizophrenia diagnosis is presented. To this aim, electroencephalogram signals obtained using a 32-channel helmet are prominently used to analyze high temporal resolution information from the brain. By these means, the data collected is employed to evaluate the class likelihoods using a neuronal network based on radial basis functions and a fuzzy means algorithm. The results obtained with real datasets validate the h...

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Semantic Scholar 13 Citations
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Registry ID 0022d7788ef3445ed4b1b047c4b39efe2fe2845a
License ArXiv
Provider semantic_scholar
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BibTeX 
@misc{0022d7788ef3445ed4b1b047c4b39efe2fe2845a,
  author = {Unknown},
  title = {Mental Disorder Diagnosis from EEG Signals Employing Automated Leaning Procedures Based on Radial Basis Functions Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0022d7788ef3445ed4b1b047c4b39efe2fe2845a}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Mental Disorder Diagnosis from EEG Signals Employing Automated Leaning Procedures Based on Radial Basis Functions [Paper]. Free2AITools. https://api.semanticscholar.org/0022d7788ef3445ed4b1b047c4b39efe2fe2845a

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Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 77
Popularity (P) 53
Recency (R) 100
Quality (Q) 65

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FNI V2.0 for Mental Disorder Diagnosis from EEG Signals Employing Automated Leaning Procedures Based on Radial Basis Functions: Authority (A:77), Popularity (P:53), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"In this paper, a new automated procedure based on deep learning methods for schizophrenia diagnosis is presented. To this aim, electroencephalogram signals obtained using a 32-channel helmet are prominently used to analyze high temporal resolution information from the brain. By these means, the data collected is employed to evaluate the class likelihoods using a neuronal network based on radial basis functions and a fuzzy means algorithm. The results obtained with real datasets validate the h..."

❝ Cite Node 

@article{Unknown2026Mental,
  title={Mental Disorder Diagnosis from EEG Signals Employing Automated Leaning Procedures Based on Radial Basis Functions},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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πŸ“Š Research Signals

πŸ“ˆ13CitationsSemantic Scholar
πŸ›οΈ77AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
πŸ—‚οΈautomation workflowField
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semantic_scholar
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Unknown
license
ArXiv
tags
paper, research, academic

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