A BRIEF REVIEW OF THE DEVELOPMENT PATH OF ARTIFICIAL INTELLIGENCE AND ITS SUBFIELDS
DOI:
https://doi.org/10.29121/ijetmr.v10.i6.2023.1331Keywords:
Artificial Intelligence, Artificial Neural Network, Expert System, Support Vector MachineAbstract
The broad discipline of Artificial Intelligence (AI) aims to automate processes that currently require human intelligence. Understanding intelligence and creating intelligent systems are the two clear objectives of AI. AI is interested in decision-making tools including knowledge representation, machine learning, heuristic reasoning, and inference approaches. The roots of AI can be found in philosophy, literature, and the human imagination. Early advancements in engineering, electronics, and many other fields have inspired AI. In this paper, we begin with a general introduction to the area of AI, then move on to its inception, history, subfields, and various applications.
Downloads
References
Alkrimi, Jameela and Ahmad, Abdul and George, Loay and Aziz, Sherna. (2013). Review of Artificial Intelligence, 2, 487-505.
Chitrakala, G., Stalin, N., & Mohan, V. (2017). A Novel Programmed Low Frequency PWM Method for Performance Enhancement of Single-Phase to Single-Phase Cycloconverter. CiiT International Journal of Digital Image Processing, 9(2), 39-46.
Ertel, W., & Black, N. T. (2018). Introduction of Artificial Intelligence (2nd ed), 2018. Springer.
G, K., V, M., G, C., & S, S. (2023). Optimization of Switching Angles for Selective Harmonic Elimination in Cascaded H-Bridge Multilevel Inverters Employing Artificial Intelligence Techniques - A Mini Review. International Journal of Engineering Technologies and Management Research, 10(1), 1-16. https://doi.org/10.29121/ijetmr.v10.i1.2023.1278 DOI: https://doi.org/10.29121/ijetmr.v10.i1.2023.1278
Krithiga, G., & Mohan, V. (2022). Elimination of Harmonics in Multilevel Inverter Using Multi-Group Marine Predator Algorithm-Based Enhanced RNN. International Transactions on Electrical Energy Systems, 2022, article ID 8004425. https://doi.org/10.1155/2022/8004425 DOI: https://doi.org/10.1155/2022/8004425
Littman, M. L., Ajunwa, I., Berger, G., Boutilier, C., Currie, M., Doshi-Velez, F., Hadfield, G., Horowitz, M. C., Isbell, C., Kitano, H., Levy, K., Lyons, T., Mitchell, M., Shah, J., Sloman, S., Vallor, S., & Walsh, T. (2021). Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report. Retrieved September 16, 2021. Stanford University, September 2021 [Doc.]. http://ai100.stanford.edu/2021-report
Masri, B., Al Sheikh, H., Karami, N., Kanaan, H. Y., & Moubayed, N. (2021). A Review on Artificial Intelligence Based Strategies for Open-Circuit Switch Fault Detection in Multilevel Inverters. IECON Annual Conference of the IEEE Industrial Electronics Society, Toronto, ON, Canada, 2021, 1-8. https://doi.org/10.1109/IECON48115.2021.9589417 DOI: https://doi.org/10.1109/IECON48115.2021.9589417
Mohan, V., & Senthilkumar, S. (2022). IoT Based Fault Identification in Solar Photovoltaic Systems Using an Extreme Learning Machine Technique. Journal of Intelligent and Fuzzy Systems, 43(3), 3087-3100. https://doi.org/10.3233/JIFS-220012 DOI: https://doi.org/10.3233/JIFS-220012
Mohan, V., Chitrakala, G., & Stalin, N. (2017). A Low Frequency PWM Based Multilevel DC-Link Inverter with Cascaded Sources. Asian Journal of Research in Social Sciences and Humanities, 7(1), 686-697. https://doi.org/10.5958/2249-7315.2016.01401.5 DOI: https://doi.org/10.5958/2249-7315.2016.01401.5
Mohan, V., Jeevananthan, S., & Raja, J. (2012). 'An On-Line Adaptive Filtering for Selective Elimination of Dominant Harmonics from Line Currents of a VSI Fed Drive Using Recursive Least Square Algorithm,' IEEE-International Conference on Advances in Engineering. Science and Management. ICAESM, 2012, 773-778. https://ieeexplore.ieee.org/abstract/document/6216205/
Mohan, V., Raja, J., & Jeevananthan, S. (2010). Chaos-Based PWM Strategies for Suppression of Harmonics in d.c.-a.c. Power Conversion. In Proceedings of the International Conference Recent Advancements in Electrical Sciences (ICRAES2010), 1, 536-546.
Mohan, V., Stalin, N., & Jeevananthan, S. (2015). A Tactical Chaos Based PWM Technique For Distortion Restraint and Power Spectrum Shaping in Induction Motor Drives. International Journal of Power Electronics and Drive Systems, 5(3), 383-392. https://doi.org/10.11591/ijpeds.v5.i3.pp383-392 DOI: https://doi.org/10.11591/ijpeds.v5.i3.pp383-392
Norvig, P., & Russell, S. Artificial Intelligence: A Modern Approach.
Senthilkumar, S., Mohan, V., & Krithiga, G. (2023). Brief Review on Solar Photovoltaic Parameter Estimation of Single and Double Diode Model Using Evolutionary Algorithms. International Journal of Engineering Technologies and Management Research, 10(1), 64-78. https://doi.org/10.29121/ijetmr.v10.i1.2023.1291 DOI: https://doi.org/10.29121/ijetmr.v10.i1.2023.1291
Senthilkumar, S., Mohan, V., Mangaiyarkarasi, S. P., & Karthikeyan. (2022). "M. Analysis of Single-Diode PV Model and Optimized MPPT Model for Different Environmental Conditions". International Transactions on Electrical Energy Systems, 2022, 17. https://doi.org/10.1155/2022/4980843 DOI: https://doi.org/10.1155/2022/4980843
Sy Yi, Sim and Chia, C.K. and Utomo, M., Wahyu, Goh, Hwang, H., Buswig, & Yonis. m Yonis & Lim, A.J.M.S. & Kek, Sie Long & Bohari, Azuwien & Cham, C.L.. (2018). "Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control". Indonesian Journal of Electrical Engineering and Computer Science. 11, 105-112. https://doi.org/10.11591/ijeecs.v11.i1.pp105-112 DOI: https://doi.org/10.11591/ijeecs.v11.i1.pp105-112
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Krithiga G, Mohan V, Senthilkumar S
This work is licensed under a Creative Commons Attribution 4.0 International License.
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal.
- That it is not under consideration for publication elsewhere.
- That its release has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Copyright
Authors who publish with International Journal of Engineering Technologies and Management Research agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or edit it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
For More info, please visit CopyRight Section