Advances in Artificial Systems for Logistics Engineering
Zhengbing Hu, Qingying Zhang, Sergey Petoukhov, Matthew He
“Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks and other machine learning, etc. Soft Computing is the connection of computational and artificial intelligence with other science and engineering disciplines, which investigates governing models and analyzes related problems from different inter- and multidisciplinary areas. Traditional computing in general deals with approximate numerical methods whereas soft computing can handle imprecision, uncertainty, partial truth, and approximations. Interdisciplinary sciences address different problems of science and engineering utilizing more than one or more areas. Correspondingly, increased dialog among these disciplines has resulted in this new book. The aim of this book has been to target the present and future requirements for the interaction between various science and engineering areas on the one hand and different branches of soft computing methods on the other.”
卷:
988
年:
2022
出版:
1
出版社:
Springer
语言:
english
页:
345
ISBN 10:
3031048083
ISBN 13:
9783031048081
系列:
Lecture Notes on Data Engineering and Communications Technologies, 135
文件:
EPUB, 35.03 MB
IPFS:
,
english, 2022
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