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.
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Ashley 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 for this piece, having recently taken a post at the University of Sydney and Robyn Verrinder is at the University of Cape Town.
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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. Bestandsnummer des Verkäufers 9783847301769
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Zustand: 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. Bestandsnummer des Verkäufers 5508590
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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. Bestandsnummer des Verkäufers 9783847301769
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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. Bestandsnummer des Verkäufers 9783847301769
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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. Bestandsnummer des Verkäufers 106672981
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