Artificial Intelligence – Deep Learning ased Cognitive Ontology Model
F. Catherine Tamilarasi1, J. Shanmugam2
1F. Catherine Tamilarasi, Research Scholar, Bharath Institute of Higher Education and Research, Salaiyur, Chennai (TamilNadu), India.
2Dr. J. Shanmugam, Director Academics, Bharath Institute of Higher Education and Research, Chennai (TamilNadu), India.
Manuscript received on 10 December 2018 | Revised Manuscript received on 17 December 2018 | Manuscript Published on 26 December 2018 | PP: 433-435 | Volume-8 Issue- 2S2 December 2018 | Retrieval Number: ES2133017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Neuro Imaging and Artificial Intelligence (AI) are two big technology oceans. Machine learning and Deep learning are subfields of AI with numerous customized tools facilitating a statistically driven Neuro Image data analysis and accurate disease prediction. This paper suggests a Cognitive Ontology model driven by Machine and Deep learning based analysis on functional Magnetic Resonance Image (fMRI) data.
Keywords: Artificial Intelligence, Deep Learning, Neural Networks, Machine Learning, Scikit Learn.
Scope of the Article: Machine Learning