DEVELOPING DIFFERENTIAL MODELS IN PROGRAMMING LANGUAGES AND THEIR OPTIMIZATION USING ARTIFICIAL INTELLIGENCE
Keywords:
differential models, programming languages, artificial intelligence, machine learning, optimization, digital modeling, computer simulation.Abstract
This article examines the processes of constructing differential models using programming languages, highlighting their mathematical foundations and methods of solving them through computational simulation. Particular attention is given to optimizing the parameters and solutions of differential models using artificial intelligence, especially machine learning and advanced optimization algorithms. The study demonstrates the practical significance of these approaches in engineering, natural sciences, production processes, and economic systems, emphasizing their role in controlling and forecasting complex dynamic systems.
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