On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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3 results for “VMD”

Bitcoin Price Forecasting Based on Hybrid Variational Mode Decomposition and Long Short Term Memory Networkq-fin.ST

Hybrid model forecasts Bitcoin prices better than standard LSTM.

problem Forecasting Bitcoin price fluctuations.

method VMD for decomposition, LSTM for modeling IMFs, final prediction aggregation.

result Hybrid model outperforms standard LSTM in various metrics.

Bitcoin price forecasting hybrid model VMD LSTM

2025-09-11abs ↗pdf ↗

Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decompositionq-fin.ST

This study proposes methods for multi-step-ahead stock price prediction using decomposition and neural networks.

problem Inaccurate one-step-ahead forecasting limits stock market decision-making.

method Two novel methods: DCT-MFRFNN and VMD-MFRFNN.

result VMD-MFRFNN outperforms other methods in multi-step-ahead stock price prediction.

stock price prediction multi-step-ahead recurrent fuzzy neural network variational mode decomposition financial time series

2022-12-24abs ↗pdf ↗

A New Unified Deep Learning Approach with Decomposition-Reconstruction-Ensemble Framework for Time Series Forecastingstat.ML

Unified deep learning approach for time series forecasting using VMD-CNN-LSTM.

problem Time series forecasting problem.

method Proposes a unified deep learning approach with decomposition-reconstruction-ensemble framework using VMD-CNN-LSTM.

result The proposed approach outperforms benchmark approaches in forecasting accuracy.

time series forecasting deep learning variational mode decomposition convolutional neural network long short term memory

2020-02-22abs ↗pdf ↗