APPROACHES TO PREDICTIVE DATA PROCESSING IN ARTIFICIAL INTELLIGENCE SYSTEMS. PART 1. ABOUT THE POSSIBILITIES OF PROBABILISTIC METHODS
Скачать PDF
Annotation: In Part 1 probabilistic methods for solving problems of predictive processing of monitoring data are considered. The methods help to do effective use the capabilities of artificial intelligence (AI). The approach includes probabilistic models and methods t hat allow predicting the probability of "success" and/or the risk of failure for complex objects and systems, ways to solve the problem of justifying proactive measures to counter threats and effective risk management. The achievable effects are explained by the example of the interpretation of the properties of probability distribution function constructed in the models and applicable in the proposed methods.
Keywords: method, model, monitoring, probability, risk, system, technology
For citation: Kostogryzov A.I., Nistratov A.A. Approaches to predictive data processing in artificial intelligence systems. part 1. about the possibilities of probabilistic methods // Electronic Scientific Journal IT-Standard. – 2021. – No. 4. – pp. .