Reverse blockchain: synergy of blockchain and neural networks. New technology for improving the quality of smart control for complex dynamic systems working with Big Data

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Abstract

A new technology has been developed that provides synergy between two technologies - blockchain and neural network modeling - to solve smart control problems. The result of the synergy of using both technologies is analyzed and an algorithm for solving control problems using navigation-control neural network models and a blockchain base is presented. A separate novelty of the solution is the proposed method for controlling the dynamics of the process based on neural network analysis and forecasting based on the mathematical apparatus of systems of differential equations. An approach is proposed for identifying the covariance matrix of a neural network model as a system of differential equations with control actions and using the solution of this system for forecasting. An algorithm for implementing the reverse blockchain technology is presented. It is shown that the presented algorithm reduces the volume of computational operations when working with multiparameter objects and systems. A definition of the conceptual feature of the reverse blockchain technology is formed.

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