Spiking Neural Networks Optimized by Improved Cuckoo Search Algorithm: A Model for Financial Time Series Forecasting

Spiking Neural Networks Optimized by Improved Cuckoo Search Algorithm: A Model for Financial Time Series Forecasting

Financial Time Series Forecasting (TSF) remains a critical challenge in Artificial Intelligence (AI) due to the inherent complexity of financial data, characterized by strong non-linearity, dynamic non-stationarity, and multi-factor coupling. To address the performance limitations of Spiking Neural...

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Bibliographic Details
Main Authors: Panke Qin, Yongjie Ding, Ya Li, Bo Ye, Zhenlun Gao, Yaxing Liu, Zhongqi Cai, Haoran Qi
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Algorithms
Subjects:
cuckoo search algorithm
spiking neural networks
financial time series forecasting
hyperparameter setting
Online Access:https://www.mdpi.com/1999-4893/18/5/262
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