Finding 2269Emerging EvidenceValidation V0
The study employs comprehensive Z-score normalization, simulation evaluations on 2018-2023 historical data, and rigorous comparisons with established models, highlighting significant improvements using MAPE values as low as $$0.6187$$ and $$0.6667$$.
86%Confidence
1Evidence objects
v1Version
DraftStatus
Evidence trail
Supporting86% linkage confidence
The study employs comprehensive Z-score normalization, simulation evaluations on 2018-2023 historical data, and rigorous comparisons with established models, highlighting significant improvements using MAPE values as low as $$0.6187$$ and $$0.6667$$.
key_findings bullet 2 · key_findings
Inspect source: An empirical evaluation of fuzzy bidirectional long short-term memory with soft computing based decision-making model for predicting volatility of cryptocurrencies →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.