Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202197390 ISBN 13: 9786202197397
Librería: Revaluation Books, Exeter, Reino Unido
EUR 63,67
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202197390 ISBN 13: 9786202197397
Librería: preigu, Osnabrück, Alemania
EUR 33,20
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Brain-computer Interaction | A Machine Learning Based Study and Analysis | Sanjay Chakraborty (u. a.) | Taschenbuch | 88 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786202197397 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202197390 ISBN 13: 9786202197397
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 35,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book, to the best of the author's knowledge, is dealing with some traditional and modern aspects of Machine learning based human brain-computer interaction . It provides an in-depth analysis of the machine learning models and algorithms and demonstrates their applications in real world problems with respect to brain-computer interaction. The book covers six chapters altogether. It starts with the behavioral perspective of the human brain with the details analysis of the nervous system and various neural activities. The end discussion of future research issues motivates the other researchers to do future research in this area. The book is unique for its diversity in contents, clarity and precision of presentation and the overall completeness of its chapters. 88 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202197390 ISBN 13: 9786202197397
Librería: moluna, Greven, Alemania
EUR 31,27
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chakraborty SanjaySanjay Chakraborty has completed his B-Tech, M.Tech in 2009 and 2011 respectively. He is pursuing his PhD on Quantum Machine Learning. He has nearly 7 years of academic experience.He is currently working as Asst.Pro.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202197390 ISBN 13: 9786202197397
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 35,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book, to the best of the author's knowledge, is dealing with some traditional and modern aspects of -Machine learning based human brain-computer interaction¿. It provides an in-depth analysis of the machine learning models and algorithms and demonstrates their applications in real world problems with respect to brain-computer interaction. The book covers six chapters altogether. It starts with the behavioral perspective of the human brain with the details analysis of the nervous system and various neural activities. The end discussion of future research issues motivates the other researchers to do future research in this area. The book is unique for its diversity in contents, clarity and precision of presentation and the overall completeness of its chapters.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202197390 ISBN 13: 9786202197397
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 37,20
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book, to the best of the author's knowledge, is dealing with some traditional and modern aspects of Machine learning based human brain-computer interaction . It provides an in-depth analysis of the machine learning models and algorithms and demonstrates their applications in real world problems with respect to brain-computer interaction. The book covers six chapters altogether. It starts with the behavioral perspective of the human brain with the details analysis of the nervous system and various neural activities. The end discussion of future research issues motivates the other researchers to do future research in this area. The book is unique for its diversity in contents, clarity and precision of presentation and the overall completeness of its chapters.