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Erschienen in:
2022 | OriginalPaper | Buchkapitel
2. Soft Computing
verfasst von : Prof. Wengang Zhang, Assoc. Prof. Yanmei Zhang, Dr. Xin Gu, Dr. Chongzhi Wu, Dr. Liang Han
Erschienen in: Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
Verlag: Springer Singapore
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Abstract
As indicated in the introduction part and the plot, definition of SC has some overlaps with ML, DL, and OA. It uses component fields of study in: Fuzzy logic, Machine learning, Probabilistic reasoning, Evolutionary computation, Perceptron, Genetic algorithms, Differential algorithms, Support vector machines, Metaheuristics, Swarm intelligence, Ant colony optimization, Particle optimization, Bayesian networks, Artificial neural networks, Expert systems, etc. As a field of mathematical and computer study, SC has been around since the 1990s. The inspiration was the human mind's ability to form real-world solutions to problems through approximation. It contrasts with possibility, an approach that is used when there is not enough information available to solve a problem. In contrast, SC is used where the problem is not adequately specified for the use of conventional math and computer techniques. It has numerous real-world applications in domestic, commercial and industrial situations.