APA (7th ed.) Citation

Chiu, K. (2026). New existence and exponential stability results for periodic solutions in recurrent neural networks with generalized piecewise constant delay via coincidence degree theory. Mathematical Modelling & Analysis, 31(3), 476. https://doi.org/10.3846/mma.2026.25296

Chicago Style (17th ed.) Citation

Chiu, Kuo-Shou. "New Existence and Exponential Stability Results for Periodic Solutions in Recurrent Neural Networks with Generalized Piecewise Constant Delay via Coincidence Degree Theory." Mathematical Modelling & Analysis 31, no. 3 (2026): 476. https://doi.org/10.3846/mma.2026.25296.

MLA (9th ed.) Citation

Chiu, Kuo-Shou. "New Existence and Exponential Stability Results for Periodic Solutions in Recurrent Neural Networks with Generalized Piecewise Constant Delay via Coincidence Degree Theory." Mathematical Modelling & Analysis, vol. 31, no. 3, 2026, p. 476, https://doi.org/10.3846/mma.2026.25296.