Classification of Medical Data with HTM Cortical Learning Algorithms

Language: English

Published by AV Akademikerverlag Dez 2013, 2013

3639491920 / 9783639491920

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This item is printed on demand - Print on Demand Titel. Neuware -Medical data analysis is an important task and the lives of patients often depend on it. However, the analysis itself is often repetitive and time-consuming. Algorithms for this tasks need to have a very high success rate and need to be understandable to work with their parameters. This work will examine a general algorithm for various data types: The Hierarchical Temporal Memory learning algorithm (HTM). It is proposed to be very flexible and to work on any kind of data. The HTM algorithm was implemented and tested with two datasets: Medical images on the one hand and ECG recordings on the other. The proposed algorithm is only presented with a limited data input method and a small input size by its authors. These properties needed to be modified to support a bigger amount of data and also various data types. This is done with an own implementation of the HTM algorithm. The results of this work are analyzed and thoughts and ideas for future development are given at the end.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.…

Seller Inventory # 9783639491920

Title
Classification of Medical Data with HTM Cortical Learning Algorithms
Author
Thomas Muders
Publisher
AV Akademikerverlag Dez 2013
Publication year
2013
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3639491920
ISBN 13
9783639491920
Item weight
149 grams
Dimensions
220x150x6 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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