Recent advancements in neural network design have given rise to the development of
Kolmogorov-Arnold Networks (KANs), which enhance interpretability and precision of these …

In this paper, we introduce an improved water strider algorithm designed to solve the inverse
form of the Burgers-Huxley equation, a nonlinear partial differential equation. Additionally …

In this research paper, we propose a novel approach that combines deep Q-networks with
context-free grammars to solve differential equations symbolically. Our method utilizes the …

The development of Kolmogorov-Arnold networks (KANs) marks a significant shift from
traditional multi-layer perceptrons in deep learning. Initially, KANs employed B-spline curves …

This manuscript presents a new higher-order numerical discretization scheme for solving
nonlinear third-order Emden-Fowler equations with local and nonlocal boundary conditions …