Entropy Estimation of the Position of the Barrier Dimension

다국어 초록 (Multilingual Abstract)

It is shown that large neural networks allow solving tasks that cannot classical quadratic forms in linear algebra. Thus the assessment of output entropy of neural network converters biometrics code is possible. The assessment of high-dimensional entropy is based on the symmetrization of the problem of the correlation of biometric data. Entropy of low dimension and high-dimensional entropy are differently connected with equally correlated data. For low-dimensional transformations only short-sighted algorithms, which not capable to bypass local extrema of quality are effective. The algorithms constructed on the accounting of multidimensional entropy are far-sighted, they don"t see local extrema.

목차 (Table of Contents)

• Abstract
• 1. INTRODUCTION
• 2. ON THE EQUIVALENCE OF MULTIDIMENSIONAL QUADRATIC
• 3. SYMMETRIZATION OF CORRELATION COMMUNICATIONS
• 4. EQUIVALENCE OF ENTROPY OF CODES BEFORE AND FULL SYMMETRIZATION OF CORRELATION COMMUNICATIONS
• 5. HETEROGENEITY OF OMMUNICATION OF HIGH-DIMENSIONAL ENTROPY WITH EQUALLY CORRELATED DATA
• 6. CONCLUSION
• REFERENCES