Publications

Four peer-reviewed papers on predictive error compensation.

Four papers, 2020 to 2024 · Updated Sep 24, 2026

What does the published research show?

A primary network predicts a time series from inputs at several time scales. A second network, trained separately, predicts the first network’s error and corrects it.

Read the papers

Papers

High-Performance Time Series Prediction With Predictive Error Compensated Wavelet Neural Networks

2020IEEE Access

Stock Price Prediction Using Predictive Error Compensation Wavelet Neural Networks

May 6, 2021Computers, Materials & Continua

Predictive Error Compensating Wavelet Neural Network Model for Multivariable Time Series Prediction

2021TEM Journal

Improvement in Prediction Performance Using Predictive Error Compensated Neural Networks

Oct 1, 2024Springer

Partnership

The papers come from an international research partnership through ARRTECH Türkiye.

Names

The method is published first as PEC-WNN and later as PECNET.

Scope

The papers evaluate prediction on stock prices, market indices, wind speed and the Lorenz attractor, not security telemetry.

Citations

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Evaluations and Benchmarks

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