Neural Networks, Kolmogorov Arnold Network, AI.
on the Universal Approximation Theorem which guarantees that a network with at least one hidden layer can approximate any continuous function on compact subsets of where 𝜎 is the activation function, and wi​,bi​,ai​ are the network parameters. Despite their widespread use, MLPs encounter