Bio-inspired Neurocomputing (1st ed. 2021) (Studies in Computational Intelligence #903)

By: Akash Kumar Bhoi and Pradeep Kumar Mallick and Chuan-Ming Liu and Valentina E. Balas

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Synopsis: This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchers as well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.

Book Quality:: Publisher Quality
ISBN-13:: 9789811554957
Related ISBNs:: 9789811554940
Publisher:: Springer Singapore, Singapore
Date of Addition:: 08/03/20
Copyrighted By:: Springer
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Akash Kumar Bhoi
Edited by:: Pradeep Kumar Mallick
Edited by:: Chuan-Ming Liu
Edited by:: Valentina E. Balas