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Computational nanotechnology, 2014, Issue 2, Pages 53–59
(Mi cn30)
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INFORMATION TECHNOLOGY AND AUTOMATED SYSTEMS
On a decomposition of Boolean functions represented by quadratic inequalities
A. N. Shurupov Moscow State Institute of Radio-Engineering Electronics and Automation (MSIRTEA) (TU)
Abstract:
This paper advances results on Boolean threshold function decomposition [2] to Boolean functions represented by one quadratic inequalities. Quadratic polynoms are the most compact non-linear polynoms and this property sometimes is quite important. We proved three criterions for non-trivial decomposition of quadratic Boolean threshold function. The second one can be applied without analysis of truth table and only needs some evolvement of threshold structure.
Threshold functions provide a simple but fundamental model for many questions investigated in image recognition, artificial neural networks and many other areas [3].
Keywords:
boolean functions, threshold functions, decomposition, quadratic inequalities.
Citation:
A. N. Shurupov, “On a decomposition of Boolean functions represented by quadratic inequalities”, Comp. nanotechnol., 2014, no. 2, 53–59
Linking options:
https://www.mathnet.ru/eng/cn30 https://www.mathnet.ru/eng/cn/y2014/i2/p53
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Statistics & downloads: |
Abstract page: | 119 | Full-text PDF : | 44 | References: | 24 | First page: | 6 |
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