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Women in soft computing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Women in soft computing/ edited by Vanita Garg, Kusum Deep, Valentina E. Balas.
其他作者:	Garg, Vanita.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	ix, 156 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	Introduction -- Object Identification using Neural Networks -- Feature Extraction Techniques -- Fuzzy Scoring Theory Applied to Team-Peer Assessment -- Cancer Detection and diagnosis using soft computing techniques -- Biogeography Based Algorithm for Solving Wind farm energy problem -- Mechanical engineering optimization problems solving using soft computing approach -- Classification of Plants Leave Using Image Processing -- Differential Evolution Algorithm for solving nonlinear optimization problem -- Discrete Grey Wolf Optimization Algorithm -- Constrained Teaching Learning Algorithm for real life problems -- Conclusion.
Contained By:	Springer Nature eBook
標題:	Soft computing. -
電子資源:	https://doi.org/10.1007/978-3-031-44706-8
ISBN:	9783031447068

Women in soft computing
Women in soft computing[electronic resource] /edited by Vanita Garg, Kusum Deep, Valentina E. Balas. - Cham :Springer Nature Switzerland :2024. - ix, 156 p. :ill. (chiefly col.), digital ;24 cm. - Women in engineering and science,2509-6435. - Women in engineering and science..

Introduction -- Object Identification using Neural Networks -- Feature Extraction Techniques -- Fuzzy Scoring Theory Applied to Team-Peer Assessment -- Cancer Detection and diagnosis using soft computing techniques -- Biogeography Based Algorithm for Solving Wind farm energy problem -- Mechanical engineering optimization problems solving using soft computing approach -- Classification of Plants Leave Using Image Processing -- Differential Evolution Algorithm for solving nonlinear optimization problem -- Discrete Grey Wolf Optimization Algorithm -- Constrained Teaching Learning Algorithm for real life problems -- Conclusion.

This book gives a detailed information of various soft computing techniques across various fields for solving relevant, real-life problems. The authors, all female leaders in the field, show how soft computing uses approximate calculations to provide imprecise yet usable solutions to complex computational problems. This enables solutions for problems that may be either unsolvable or too time-consuming to solve with current hardware. The authors show how these techniques, when applied, have proven to be efficient and robust in many difficult situations. As an important part of the Women in Science and Engineering book series, the work highlights the contribution of women leaders in soft computing, inspiring women and men, girls and boys to enter and apply themselves to secure the future in the field.

ISBN: 9783031447068

Standard No.: 10.1007/978-3-031-44706-8doiSubjects--Topical Terms:

563033
Soft computing.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Women in soft computing
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505 0 $a Introduction -- Object Identification using Neural Networks -- Feature Extraction Techniques -- Fuzzy Scoring Theory Applied to Team-Peer Assessment -- Cancer Detection and diagnosis using soft computing techniques -- Biogeography Based Algorithm for Solving Wind farm energy problem -- Mechanical engineering optimization problems solving using soft computing approach -- Classification of Plants Leave Using Image Processing -- Differential Evolution Algorithm for solving nonlinear optimization problem -- Discrete Grey Wolf Optimization Algorithm -- Constrained Teaching Learning Algorithm for real life problems -- Conclusion.
520 $a This book gives a detailed information of various soft computing techniques across various fields for solving relevant, real-life problems. The authors, all female leaders in the field, show how soft computing uses approximate calculations to provide imprecise yet usable solutions to complex computational problems. This enables solutions for problems that may be either unsolvable or too time-consuming to solve with current hardware. The authors show how these techniques, when applied, have proven to be efficient and robust in many difficult situations. As an important part of the Women in Science and Engineering book series, the work highlights the contribution of women leaders in soft computing, inspiring women and men, girls and boys to enter and apply themselves to secure the future in the field.
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650 0 $a Women computer scientists. $3 3710825
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650 2 4 $a Women's History / History of Gender. $3 3595618
700 1 $a Garg, Vanita. $3 3611884
700 1 $a Deep, Kusum. $3 1569859
700 1 $a Balas, Valentina E. $3 3380124
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