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Название: Soft Computing in Smart Manufacturing: Solutions toward Industry 5.0
Автор: Tatjana Sibalija, J. Paulo Davim
Издательство: De Gruyter
Год: 2022
Страниц: 292
Язык: английский
Формат: pdf (true), epub
Размер: 243.3 MB
This book aims at addressing the challenges of contemporary manufacturing in the Industry 4.0 environment as well as in future manufacturing (aka Industry 5.0) by implementing soft computing - one of the major subfields of Artificial Intelligence (AI). Learning and predicting capabilities of soft computing techniques (e.g. Machine Learning) as well as optimization capabilities (e.g. evolutionary algorithms) and other features of AI should be exploited to respond to issues of smart manufacturing. The demand for product personalization introduces a high level of uncertainty and requires highly adaptive, agile processes and systems.
Автор: Tatjana Sibalija, J. Paulo Davim
Издательство: De Gruyter
Год: 2022
Страниц: 292
Язык: английский
Формат: pdf (true), epub
Размер: 243.3 MB
This book aims at addressing the challenges of contemporary manufacturing in the Industry 4.0 environment as well as in future manufacturing (aka Industry 5.0) by implementing soft computing - one of the major subfields of Artificial Intelligence (AI). Learning and predicting capabilities of soft computing techniques (e.g. Machine Learning) as well as optimization capabilities (e.g. evolutionary algorithms) and other features of AI should be exploited to respond to issues of smart manufacturing. The demand for product personalization introduces a high level of uncertainty and requires highly adaptive, agile processes and systems.