Abstract: Various generalizations of binary Boolean bent functions have some applications in both binary and multiple-valued domain. The generalized Boolean functions having binary variables but ...
In this paper, the ability of a binary neural-network comprising only neurons with zero thresholds and binary weights to map given samples of a Boolean function is studied. A mathematical model ...
The Quine-McCluskey algorithm, also known as the tabulation method, is a method used for minimization of Boolean functions. It is an exact method and provides a systematic approach to simplify Boolean ...
As seen in earlier articles, the only two possible states of information for digital electronics are true and false. Be it an electric current, a numeric datum, or a variable of any kind, the system’s ...
The optimism that deep neural networks, particularly those based on the Transformer design, will speed up scientific discovery stems from their contributions to previously intractable problems in ...
MOEKA is a specialized user-interview based software system designed for expert knowledge acquisition and representation of monotone Boolean functions. It provides both a command-line interface and a ...
ABSTRACT: Binary Decision Diagrams (BDDs) can be graphically manipulated to reduce the number of nodes and hence the area. In this context, ordering of BDDs play a major role. Most of the algorithms ...
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