Title

General Purpose Representation And Association Machine: Part 4: Improve Learning For Three-States And Multi-Tasks

Keywords

Error Control Coding; General Purpose Systems; Intelligent Machine

Abstract

In this paper, we continue our journey on how to use simple LDPC codes to build a GPRAM prototype. We examine a switch function in the system which will allow us to perform revision in code structures in the GPRAM prototype in future. In this study we focus on how to improve learning for three-state systems; how to learn using perfect codewords; and finally how to perform progressive learning methods to perform multi-tasks. We start to see that many interesting features begin to merge and some of them may have bioimplications which need to be explored further. © 2013 IEEE.

Publication Date

9-4-2013

Publication Title

Conference Proceedings - IEEE SOUTHEASTCON

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/SECON.2013.6567485

Socpus ID

84883221584 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84883221584

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