Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847301764 ISBN 13: 9783847301769
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. An Application of Hierarchical Temporal Memory (HTM) | A study into the field of Neuromorphic Engineering and an application of the theory of Hierarchial Temporal Memory | Ashley Liddiard (u. a.) | Taschenbuch | 104 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783847301769 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10: 3847301764 ISBN 13: 9783847301769
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -While a number of neuromorphic studies have been based on understanding and building the brain in software and hardware, a recent theory has been presented from a high level, top down approach, with the view of understanding how the human brain performs higher reasoning, and then designing software infrastructure based on that theory namely Hierarchical Temporal Memory (HTM). Current opinion raises question marks as to whether this theory is sound, feasible, coherent, logical and correct. This work aims to, if not answer some of those questions, at least get closer to understanding the brain and therefore implementing HTM theory in software for further use in an embedded environment. The final output of this thesis is a Hierarchical Temporal node, designed in software, and demonstrating learning using pseudo-random input sensory data and the spatial temporal framework. 104 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847301764 ISBN 13: 9783847301769
Anbieter: moluna, Greven, Deutschland
EUR 41,05
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Liddiard AshleyAshley lives with her husband in Port Elizabeth and is under full time employ at the Volkswagen production plant in Uitenhage, she continues onto a PhD in engineering. Prof. J Tapson was the inspiration and supervision.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10: 3847301764 ISBN 13: 9783847301769
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -While a number of neuromorphic studies have been based on understanding and building the brain in software and hardware, a recent theory has been presented from a high level, top down approach, with the view of understanding how the human brain performs higher reasoning, and then designing software infrastructure based on that theory - namely Hierarchical Temporal Memory (HTM). Current opinion raises question marks as to whether this theory is sound, feasible, coherent, logical and correct. This work aims to, if not answer some of those questions, at least get closer to understanding the brain and therefore implementing HTM theory in software for further use in an embedded environment. The final output of this thesis is a Hierarchical Temporal node, designed in software, and demonstrating learning using pseudo-random input sensory data and the spatial temporal framework.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847301764 ISBN 13: 9783847301769
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - While a number of neuromorphic studies have been based on understanding and building the brain in software and hardware, a recent theory has been presented from a high level, top down approach, with the view of understanding how the human brain performs higher reasoning, and then designing software infrastructure based on that theory namely Hierarchical Temporal Memory (HTM). Current opinion raises question marks as to whether this theory is sound, feasible, coherent, logical and correct. This work aims to, if not answer some of those questions, at least get closer to understanding the brain and therefore implementing HTM theory in software for further use in an embedded environment. The final output of this thesis is a Hierarchical Temporal node, designed in software, and demonstrating learning using pseudo-random input sensory data and the spatial temporal framework.