Intelligent Data Analysis Algorithms Based on Neural Network Models of Machine Learning

This research addresses the development of algorithms for intelligent analysis of economic data based on artificial intelligence models. The study focuses on identifying delays in sales data through comprehensive analysis. A classification problem is formulated using a neural network-based model to enable intelligent data analysis. To solve the problem, the dataset was first prepared, and the mathematical model of the LSTM neural network was developed. Furthermore, optimization of the LSTM model was conducted using the gradient method. An intelligent algorithm based on the LSTM neural network model was proposed to solve the classification task. The performance of the developed model and algorithm was evaluated using specific assessment criteria.

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