A Nonconvex Activated Fuzzy RNN with Noise-Immune for Time-Varying Quadratic Programming Problems: Application to Plant Leaf Disease Identification
Year: 2025
Type: article
Abstract: Nonconvex Activated Fuzzy Zeroing Neural Network-based (NAFZNN) and Nonconvex Activated Fuzzy Noise-Tolerant Zeroing Neural Network-based (NAFNTZNN) models are devised and analyzed, drawing inspiration from the classical ZNN/NTZNN-based model for online addressing Time-Varying Quadratic Programming Problems (TVQPPs) with Equality and Inequality Constraints (EICs) in noisy circumstances, respectively. Furthermore, the proposed NAFZNN model and NAFNTZNN model are considered as general proportion-differentiation controller, along with general proportion-integration-differentiation controller. Besides, theoretical results demonstrate the global convergence of both the NAFZNN and NAFNTZNN models for TVQPPs with EIC under noisy conditions. Moreover, numerical results illustrate the efficiency, robustness, and ascendancy of the NAFZNN and NAFZNN models in addressing TVQPPs online, exhibiting inherent noise tolerance. Ultimately, an application example to plant leaf disease identification is conducted to support the feasibility and efficacy of the designed NAFNTZNN model, which shows its potential practical value in the field of image recognition.
Source: Tsinghua Science & Technology
Authors: Yating Hu, Qingwen Du, Jun Luo, Changlin Yu, Bo Zhao, Yingyi Sun
Institutions: Jilin Agricultural University, Beijing Normal University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409917182