Vector space weightless neural networks
نویسندگان
چکیده
By embedding the boolean space Z2 as an orthonormal basis in a vector space we can treat the RAM based neuron as a matrix (operator) acting on the vector space. We show how this model (inspired by our research on quantum neural networks) is of sufficient generality as to have classical weighted (perceptronlike), classical weightless (RAM-based, PLN, etc), quantum weighted and quantum weightless neural models as particular cases. It is also indicated how one could use it to polynomially solve 3-SAT and briefly mention how could one train this novel model.
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تاریخ انتشار 2014