September 25, 2025

Development of an intellectual information system for managing the operation of a biogas plant

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This paper demonstrates the use of mathematical modeling and neural networks to enhance biogas production, improving forecasting accuracy.

The intelligent information system improves forecasting accuracy of biogas output and methane content.
The multilayer perceptron architecture balances model complexity and generalizing ability, enhancing predictions.
Data collection, processing, and analysis are critical processes supported by the proposed IDEF0 methodology.
Methods such as normalization and adaptive parameter tuning help prevent overfitting in the model's development.

Klesov et al. (2025) studied this question.

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September 25, 2025

View Full Paper

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Authors

This paper demonstrates the use of mathematical modeling and neural networks to enhance biogas production, improving forecasting accuracy.

The intelligent information system improves forecasting accuracy of biogas output and methane content.
The multilayer perceptron architecture balances model complexity and generalizing ability, enhancing predictions.
Data collection, processing, and analysis are critical processes supported by the proposed IDEF0 methodology.
Methods such as normalization and adaptive parameter tuning help prevent overfitting in the model's development.

Klesov et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark