The Future of Crypto Transactions? AI That Predicts Network Congestion

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FENN uses deep learning to predict blockchain transaction fees by modeling mempool states, network speed, and transaction data.
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Blockchain transaction fees fluctuate due to limited block capacity and network congestion. The Fee Estimation based on Neural Network (FENN) framework tackles this challenge by combining three data sources—transaction features, mempool states, and network characteristics. Using deep learning methods like LSTM and attention mechanisms, FENN predicts future block behaviors and network trends to estimate optimal transaction fees. This dual-layer model—feature extraction and prediction—helps improve accuracy and efficiency in confirming blockchain transactions.