Static memory optimization by clustering and neural networks in embedded devices

Authors:
Vladimir Yanakiev;Elena Paunova
Affiliations:
Institute of Information and Communication Technologies -- Bulgarian Academy of Sciences;Institute of Information and Communication Technologies -- Bulgarian Academy of Sciences
Venue:
Proceedings of the 12th International Conference on Computer Systems and Technologies
Year:
2011

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Abstract

In every network bus there is a situation of an output signal calculated on the base of few input signals. This is implemented by function, written on program language. When entire program is realized it will be written in flash memory of the controller that transmits the signals. In many cases output signal values are formed in clusters, groups with same output value and close input values. In present investigation different methods of approaches are engaged and their positive and negative sides are compared. Algorithms for founding boundaries of such clusters using polynomials are suggested in the paper. Methods for their realizations by functions with minimal usage of memory (flash and RAM) are suggested. Neural networks are also investigated in such direction.