Toward physically plausible data-driven models: a novel neural network approach to symbolic regression
Many real-world systems can be described by mathematical models that are human-
comprehensible, easy to analyze and help explain the system's behavior. Symbolic …
comprehensible, easy to analyze and help explain the system's behavior. Symbolic …
Evolving Equation Learner For Symbolic Regression
Symbolic regression, a multifaceted optimization challenge involving the refinement of both
structural components and coefficients, has gained significant research interest in recent …
structural components and coefficients, has gained significant research interest in recent …
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning
Contrary to the use of genetic programming, the neural network approach to symbolic
regression can scale well with high input dimension and leverage gradient methods for …
regression can scale well with high input dimension and leverage gradient methods for …
[引用][C] Un sistema de enseñanza-aprendizaje para sumas y restas basado en el método del juego
MA Coral-Ygnacio, B León-Millán - Revista de investigación de Sistemas e …, 2024