Output details
11 - Computer Science and Informatics
London Metropolitan University
Article title
Neural Network Approaches for Noisy Language Modeling
Type
D - Journal article
Title of journal
IEEE Transactions on Neural Networks and Learning Systems
Article number
-
Volume number
24
Issue number
11
First page of article
1773
ISSN of journal
2162-2388
Year of publication
2013
Number of additional authors
-
Additional information
<24> The paper puts forward an original methodology called noisy language through developing further the information theory and applies neural networks to one of its specific applications (e.g. typing stream) which has scientific and commercial significance. One of the significant outcomes of the paper is to pave the way for the practical developments in a wide range of applications. This research will serve further development in applications such as cyber security, patterns identification and language prediction in real time noisy contexts.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
