Affiliation:
1. C.V. Raman Global University, India
2. Birla Global University, Bhubaneswar, India
Abstract
The chapter examines ML methods that appear to be applied in implementing systems with intelligent behaviour. It depends on two workshops on learning in system of intelligent manufacturing, an intensive survey of the literature, and various commitments. Symbolic, sub-symbolic, and hybrid approaches, as well as their applications in manufacturing, are also discussed, as are hybrid solutions that attempt to combine the advantages of several methodologies. The advantages, inadequacies, and impediments of different creation methods are illustrated to decide suitable strategies for explicit circumstances.
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