Bankruptcy Prediction through Soft Computing based Deep Learning Technique, Arindam Chaudhuri; Soumya K Ghosh

Автор: Edited by Stewart Jones
Название: Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction
ISBN: 0521689546 ISBN-13(EAN): 9780521689540
Издательство: Cambridge Academ
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Цена: 6970.00 р.
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Описание: A thorough compendium of credit risk modelling approaches, including several new techniques that extend the horizons of future research and practice. Models and techniques are illustrated with empirical examples and are accompanied by a careful explanation of model derivation issues. An ideal resource for academics, practitioners and regulators.

Автор: Han Liu; Mihaela Cocea
Название: Granular Computing Based Machine Learning
ISBN: 331970057X ISBN-13(EAN): 9783319700571
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Introduction, - Traditional Machine Learning, - Semi-supervised Learning through Machine Based Labelling, - Nature Inspired Semi-heuristic Learning, - Fuzzy Classification through Generative Multi-task Learning, - Multi-granularity Semi-random Data Partitioning, - Multi-granularity Rule Learning, - Case Studies, - Con

Автор: Lakhmi C. Jain; Janusz Kacprzyk
Название: New Learning Paradigms in Soft Computing
ISBN: 3790824992 ISBN-13(EAN): 9783790824995
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.

Автор: Lakhmi C. Jain; Janusz Kacprzyk
Название: New Learning Paradigms in Soft Computing
ISBN: 3790814369 ISBN-13(EAN): 9783790814361
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets and evolutionary computations.

Автор: Aboul Ella Hassanien; Diego Alberto Oliva
Название: Advances in Soft Computing and Machine Learning in Image Processing
ISBN: 3319637533 ISBN-13(EAN): 9783319637532
Издательство: Springer
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Цена: 32142.00 р.
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Описание: This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

Автор: Sang-Yong Rhee; Jooyoung Park; Atsushi Inoue
Название: Soft Computing in Machine Learning
ISBN: 3319055321 ISBN-13(EAN): 9783319055329
Издательство: Springer
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Цена: 23508.00 р.
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Описание: As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning.

Название: High Performance Programming for Soft Computing
ISBN: 146658601X ISBN-13(EAN): 9781466586017
Издательство: Taylor&Francis
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Цена: 22968.00 р.
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Описание: This book examines the present and future of soft computer techniques. It explains how to use the latest technological tools, such as multicore processors and graphics processing units, to implement highly efficient intelligent system methods using a general purpose computer.