Soft computing and nature-inspired computing both play a
significant role in developing a better understanding to machine
learning. When studied together, they can offer new perspectives on
the learning process of machines. The Handbook of Research on Soft
Computing and Nature-Inspired Algorithms is an essential source for
the latest scholarly research on applications of nature-inspired
computing and soft computational systems. Featuring comprehensive
coverage on a range of topics and perspectives such as swarm
intelligence, speech recognition, and electromagnetic problem
solving, this publication is ideally designed for students,
researchers, scholars, professionals, and practitioners seeking
current research on the advanced workings of intelligence in
computing systems.
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