Artificial intelligence, reality or imagination?
Keywords:
artificial intelligence; artificial neural networks; machine learning; deep learning
Abstract
The surprising results of recent developments in various fields of artificial intelligence application have caused people to have a feeling of amazement combined with fear of the category of artificial intelligence. In many of since filed the data play a main role for development the sciences. Meanwhile data mining is one of the main subjects in artificial intelligence. In this editorial, brief and useful explanations about artificial intelligence, artificial neural networks, machine learning and deep learning are given, which help the reader to get a correct and clear understanding of the category of artificial intelligence.
References
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2. Patel, Bhaskar N., Satish G. Prajapati, and Kamaljit I. Lakhtaria. “Efficient classification of data using decision tree.” Bonfring international journal of data mining 2.1 (2012): 06-12.
3. Zou, Jinming, Yi Han, and Sung-Sau So. “Overview of artificial neural networks.” Artificial neural networks: methods and applications (2009): 14-22.
4. Rosenblatt, F. The perceptron: a probabilistic model for information storage and organization in the brain. Psychological review, (1985).
5. Kubat, M. Artificial neural networks. In An Introduction to Machine Learning (pp. 91-111). Springer, Cham. (2015).
6. Jordan, Michael I., and Tom M. Mitchell. “Machine learning: Trends, perspectives, and prospects.” Science 349.6245 (2015): 255-260.
7. LeCun, Y., Bengio, Y., & Hinton, G. Deep learning. Nature, (2015), 521(7553), 436.
8. Mohammadi, Naser, and Mohammad Javad Nategh. “Development of a deep learning machining feature recognition network for recognition of four pilot machining features.” The International Journal of Advanced Manufacturing Technology. (2022): 7451-7462.
