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Useful techniques and applications of computational intelligence

Publication Type : Book Chapter

Publisher : De Gruyter

Source : Computational Intelligence in Software Modeling, De Gruyter, 2022, https://doi.org/10.1515/9783110709247

Url : https://doi.org/10.1515/9783110709247

Campus : Bengaluru

School : School of Engineering

Department : Electrical and Electronics

Year : 2022

Abstract : The key component of computational intelligence is computational models and techniques that incorporate learning, adaptability, and/or heuristic optimization. Complex problems that conventional computer techniques cannot solve are handled with artificial intelligence. Neural networks, evolutionary computing, and fuzzy systems are the three main principles for creating artificial intelligence. These are some of the latest issues in machine learning and natural language processing, including artificial immune systems, support vector machines, rough sets, and chaotic systems. Computational intelligence techniques, including neural networks, fuzzy systems, and swarm intelligence, are reviewed in this chapter.

Cite this Research Publication : Sujit Kumar, M. Balamurugan, Vikramaditya Dave and Bhivraj Suthar, “Useful techniques and applications of computational intelligence”, Computational Intelligence in Software Modeling, De Gruyter, 2022, https://doi.org/10.1515/9783110709247

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