Women in Soft Computing [electronic resource] /
edited by Vanita Garg, Kusum Deep, Valentina E. Balas.
- 1st ed. 2024.
- IX, 156 p. 27 illus., 22 illus. in color. online resource.
- 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.
9783031447068
10.1007/978-3-031-44706-8 doi
Artificial intelligence. Computational intelligence. Women--History. Artificial Intelligence. Computational Intelligence. Women's History / History of Gender.