Автор: Siddhartha Bhattacharyya, Paramartha Dutta, Sourav De-Goran Klepac Название: Hybrid Soft Computing for Image Segmentation Издательство: Springer Год: 2016 ISBN: 978-3-319-47222-5 Язык: English Формат: pdf Размер: 16 mb Страниц: 321
The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization.
The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.
Pathways to Machine Learning and Soft Computing Название: Pathways to Machine Learning and Soft Computing Автор: Jyh-Horng Jeng, Jer-Guang Hsieh Издательство: EHGBooks ASIN: B07FHYXDYG Год:...
Advances in Intelligent Computing Название: Advances in Intelligent Computing Автор: J. K. Mandal and Paramartha Dutta Издательство: Springer Серия: Studies in Computational...
Pattern Recognition And Big Data Название: Pattern Recognition And Big Data Автор: Amita Pal and Sankar K Pal Издательство: World Scientific Publishing Год: 2017 Формат: PDF Размер:...
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