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008			231218s2024 sz | s |||| 0|eng d
020			_a9783031447068
024	7		_a10.1007/978-3-031-44706-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
050	0	4	_aQ334-342 _b2024
050	0	4	_aTA347.A78 _b2024
245	0	0	_aWomen in Soft Computing _cedited by Vanita Garg, Kusum Deep, Valentina E Balas
250			_afirst edition 2024
264		1	_aCham _c2024 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF
490	0		_aWomen in Engineering and Science _x2509-6435
505	0		_aIntroduction -- 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			_aThis 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.
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-44706-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
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988			_aSpringer_Computer_2024
999			_c397797 _d397797