Theory, development, and applications of zeroing neural network: a review - Artificial Intelligence Review
The review on zeroing neural networks (ZNNs) highlights their theoretical foundations, development, and diverse applications, particularly in optimization problems. ZNNs have shown promise in areas such as portfolio management in high-frequency trading and solving time-varying quadratic programming challenges. Researchers are exploring advanced techniques, including adaptive algorithms and noise-tolerant models, to enhance the performance of ZNNs in dynamic environments. The ongoing advancements in this field underscore the potential of artificial intelligence and data science to revolutionize complex problem-solving across various industries.
Commenti