Wavelet neural networks

Wavelet neural networks are a type of machine learning model that combines wavelet functions with neural networks. Wavelets are mathematical functions that analyze data at different scales and resolutions, capturing both sharp features and smooth patterns. When integrated into neural networks, wavelets enable the model to efficiently process complex, multi-scale information—such as images, signals, or time series—improving pattern recognition and data analysis. This combination enhances the network’s ability to adapt to diverse data features, making it effective for tasks like signal compression, denoising, and predictive modeling.