Artificial Intelligence

    

Ground State Spin Glassing Model Order Parameter and Machine Learning Perceptron

Authors: Akira Saito

We were able to express the order variables of the spin glassing model in the ground state using simultaneous equations. By similar formula expansion, a formula equivalent to a machine learning perceptron can be obtained. The machine learning perceptron is an empirical form that is the result of trial and error, and there is no basis for formulating it. However, by deriving an equivalent formula by mathematical formula expansion of the spinglassizing model, we have I think the proof has been established. In addition, we believe that creating simultaneous equations will advance machine learning analysis, potentially contributing to reducing learning costs and creating highly accurate models, and contributing to the further penetration of machine learning into various fields.

Comments: 4 Pages. In Japanese (Note by viXra Admin: Please fill in author name in English)

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Submission history

[v1] 2023-11-10 01:07:12

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