A Literature Survey on artificial intelligence release_epgjcqllframdh6jlxz5bcbldu

Abstract

In the twenty-first century, artificial intelligence (AI) is assuming a major role. Because there is more data available to organisations than ever before, it is essential that the analytics team distinguish between Interesting Data and Useful Data. "Feature Selection" and "Feature Extraction" are two crucial components of machine learning. In order to achieve operational excellence in operating and maintaining industrial assets efficiently, reliably, safely, and cost-effectively, a significant number of evolutionary changes in machine learning methodologies are currently occurring. This fourth industrial revolution is also beginning to take shape. Multidisciplinary researchers frequently use artificial intelligence (AI) methods such as knowledge-based systems, expert systems, artificial neural networks, genetic algorithms, fuzzy logic, case-based reasoning, and any combination of these methods (hybrid systems), machine learning, and biomimicry such as swarm intelligence and distributed intelligence.
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