A-State-Of-Art Review on The Advances and Applications of Artificial Neural Networks
Keywords:
Artificial Neural Networks, Artificial Intelligence, Neural Networks, Newest ApplicationsAbstract
In field of Artificial Intelligence (AI), Artificial Neural Networks (ANNs) have been widely accepted as a cutting-edge computing technology. There is a lot to learn about AI and ANN in this study, which focuses on modern applications of these technologies. Using a combination of Neural Networks (NNs) and fuzzy logic, it hopes to improve the data's capacity to be interpreted. The past two decades, ANNs have been intensively explored and deployed as a major soft-computing technique. Pattern recognition, data analysis, control, and grouping are most common uses of NNs in problem solving. There are several advantages to ANNs, including rapid processing rates and the capacity to learn from examples. Research in this article focuses on the newest applications of NNs and offers an overview of the sector in which NNs are utilized. It explores how NNs play a key role in several fields, such as AI.
References
[1] S. P. Singh and U. C. Jaiswal, "Machine Learning for Big Data : A New Perspective," Int. J. Appl. Eng. Res., vol. 13, no. 5, pp. 2753-2762, 2018, [Online].
[2] K. Kumar and G. S. M. Thakur, "Advanced Applications of Neural Networks and Artificial Intelligence: A Review," Int. J. Inf. Technol. Comput. Sci., vol. 4, no. 6, pp. 57-68, 2012, https://doi.org/10.5815/ijitcs.2012.06.08
[3] S. Pratap, S. Umesh, and C. Jaiswal, "Classification of audio signals using SVM ‑ WOA in Hadoop map ‑ reduce framework," SN Appl. Sci., no. March, 2020, https://doi.org/10.1007/s42452-020-03870-0
[4] I. Veza et al., "Review of artificial neural networks for gasoline, diesel and homogeneous charge compression ignition engine," Alexandria Eng. J., 2022, https://doi.org/10.1016/j.aej.2022.01.072
[5] B. Pomeroy, M. Grilc, and B. Likozar, "Artificial neural networks for bio-based chemical production or biorefining: A review," Renew. Sustain. Energy Rev., vol. 153, no. June 2021, 2022, https://doi.org/10.1016/j.rser.2021.111748
[6] X. Yang et al., "Research and applications of artificial neural network in pavement engineering: A state-of-the-art review," J. Traffic Transp. Eng. (English Ed., vol. 8, no. 6, pp. 1000-1021, 2021, https://doi.org/10.1016/j.jtte.2021.03.005
[7] Y. Zhou, "Artificial neural network-based smart aerogel glazing in low-energy buildings: A state-of-the-art review," iScience, vol. 24, no. 12, p. 103420, 2021, https://doi.org/10.1016/j.isci.2021.103420
[8] C. Vargas and A. El Hanandeh, "Systematic literature review, meta-analysis and artificial neural network modelling of plastic waste addition to bitumen," J. Clean. Prod., vol. 280, p. 124369, 2021, https://doi.org/10.1016/j.jclepro.2020.124369
[9] B. Li, C. Delpha, D. Diallo, and A. Migan-Dubois, "Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review," Renew. Sustain. Energy Rev., vol. 138, no. October, 2021, https://doi.org/10.1016/j.rser.2020.110512
[10] J. Jawad, A. H. Hawari, and S. Javaid Zaidi, "Artificial neural network modeling of wastewater treatment and desalination using membrane processes: A review," Chem. Eng. J., vol. 419, no. March, p. 129540, 2021 https://doi.org/10.1016/j.cej.2021.129540
[11] X. Liu, S. Tian, F. Tao, and W. Yu, "A review of artificial neural networks in the constitutive modeling of composite materials," Compos. Part B Eng., vol. 224, no. July, p. 109152, 2021, https://doi.org/10.1016/j.compositesb.2021.109152
[12] A. Xu, H. Chang, Y. Xu, R. Li, X. Li, and Y. Zhao, "Applying artificial neural networks (ANNs) to solve solid waste-related issues: A critical review," Waste Manag., vol. 124, pp. 385-402, 2021, https://doi.org/10.1016/j.wasman.2021.02.029
[13] T. B. Lopez-Garcia, A. Coronado-Mendoza, and J. A. Domínguez-Navarro, "Artificial neural networks in microgrids: A review," Eng. Appl. Artif. Intell., vol. 95, no. July, p. 103894, 2020, https://doi.org/10.1016/j.engappai.2020.103894
[14] S. P. Singh and U. C. Jaiswal, "Audio classification using grasshopper-ride optimization algorithm-based support vector machine," IET Circuits, Devices Syst., vol. 15, no. 5, pp. 434-447, 2021, https://doi.org/10.1049/cds2.12039
[15] U. M. R. Paturi, S. Cheruku, and S. R. Geereddy, "Process modeling and parameter optimization of surface coatings using artificial neural networks (ANNs): State-of-the-art review," Mater. Today Proc., vol. 38, no. xxxx, pp. 2764-2774, 2020, https://doi.org/10.1016/j.matpr.2020.08.695
[16] C. He, M. Ma, and P. Wang, "Extract interpretability-accuracy balanced rules from artificial neural networks: A review," Neurocomputing, vol. 387, pp. 346-358, 2020, https://doi.org/10.1016/j.neucom.2020.01.036
[17] A. R. Pazikadin, D. Rifai, K. Ali, M. Z. Malik, A. N. Abdalla, and M. A. Faraj, "Solar irradiance measurement instrumentation and power solar generation forecasting based on Artificial Neural Networks (ANN): A review of five years research trend," Sci. Total Environ., vol. 715, p. 136848, 2020, https://doi.org/10.1016/j.scitotenv.2020.136848
[18] A. H. Elsheikh, S. W. Sharshir, M. Abd Elaziz, A. E. Kabeel, W. Guilan, and Z. Haiou, "Modeling of solar energy systems using artificial neural network: A comprehensive review," Sol. Energy, vol. 180, no. October 2018, pp. 622-639, 2019, https://doi.org/10.1016/j.solener.2019.01.037
[19] N. Shahid, T. Rappon, and W. Berta, "Applications of artificial neural networks in health care organizational decision-making: A scoping review," PLoS One, vol. 14, no. 2, pp. 1-22, 2019,https://doi.org/10.1371/journal.pone.0212356
[20] M. Amer and T. Maul, "A review of modularization techniques in artificial neural networks," Artif. Intell. Rev., vol. 52, no. 1, pp. 527-561, 2019, https://doi.org/10.1007/s10462-019-09706-7
[21] T. Zarra, M. G. Galang, F. Ballesteros, V. Belgiorno, and V. Naddeo, "Environmental odour management by artificial neural network - A review," Environ. Int., vol. 133, no. May, p. 105189, 2019, https://doi.org/10.1016/j.envint.2019.105189
[22] A. Tealab, "Time series forecasting using artificial neural networks methodologies: A systematic review," Futur. Comput. Informatics J., vol. 3, no. 2, pp. 334-340, 2018, https://doi.org/10.1016/j.fcij.2018.10.003
[23] H. Li, Z. Zhang, and Z. Liu, "Application of artificial neural networks for catalysis: A review," Catalysts, vol. 7, no. 10, 2017, https://doi.org/10.3390/catal7100306
[24] R. Dharwal, "Applications of Artificial Neural Networks: A Review," Indian J. Sci. Technol., vol. 9, no. 1, pp. 1-8, 2016, https://doi.org/10.17485/ijst/2016/v9i47/106807
[25] F. Marini, "Artificial neural networks in foodstuff analyses: Trends and perspectives A review," Anal. Chim. Acta, vol. 635, no. 2, pp. 121-131, 2009, https://doi.org/10.1016/j.aca.2009.01.009
[26] F. M. Dias, A. Antunes, and A. M. Mota, "Artificial neural networks: A review of commercial hardware," Eng. Appl. Artif. Intell., vol. 17, no. 8, pp. 945-952, 2004, https://doi.org/10.1016/j.engappai.2004.08.011
[27] P. J. G. Lisboa, "A review of evidence of health benefit from artificial neural networks in medical intervention," Neural Networks, vol. 15, no. 1, pp. 11-39, 2002, https://doi.org/10.1016/S0893-6080(01)00111-3
[28] H. El Kadi, "Modeling the mechanical behavior of fiber-reinforced polymeric composite materials using artificial neural networks - A review," Compos. Struct., vol. 73, no. 1, pp. 1-23, 2006, https://doi.org/10.1016/j.compstruct.2005.01.020
