Garg, Vanita. editor. edt http://id.loc.gov/vocabulary/relators/edt Deep, Kusum. editor. edt http://id.loc.gov/vocabulary/relators/edt Balas, Valentina E. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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electronic resource

access IX, 156 p. 27 illus., 22 illus. in color. online resource. 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. 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. edited by Vanita Garg, Kusum Deep, Valentina E. Balas. Artificial intelligence Computational intelligence Women History Artificial Intelligence Computational Intelligence Women's History / History of Gender Q334-342 TA347.A78 9783031447068 https://doi.org/10.1007/978-3-031-44706-8 https://doi.org/10.1007/978-3-031-44706-8 231218 20251030110856.0 978-3-031-44706-8