The Technique of Processing Non-Gaussian Data Based on Artificial Intelligence

The article discusses the technique of parametric adaptation of big data. The basis of this technique is vector rank analysis, developed within the framework of the technocenological theory of Professor B.I. Kudrin. The novelty of the technique lies in the fact that for the first time, together with technocenological methods, the possibility of using elements of artificial intelligence has been realized. The main stages of the methodology are: loading “raw” data, forming matrices of verified and approximated data, as well as checking their adequacy based on vector rank analysis methods. These steps are performed in parallel using ChatGPT based on the proposed artificial intelligence methods.