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EFFICIENT OIL PRODUCTION FORECASTING USING SPIKING NEURAL NETWORKS AND FENNEC FOX
Автор: AB TECHNOLOGIES
Загружено: 2025-12-17
Просмотров: 19
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Efficient Oil Production Forecasting using Spiking Neural Networks and Fennec Fox is demonstrated in this video. Input data undergoes preprocessing to handle missing and null values, followed by feature engineering through normalization and data transformation. After train test splitting, hyperparameters are optimized to enhance SNN performance. The trained SNN processes time-dependent signals to minimize prediction error and significantly improve forecasting accuracy.
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