Neural Networks, Kolmogorov Arnold Network, AI.
activations at nodes. This shift is mathematically represented as: where Φ𝑞​ and 𝜙𝑞,𝑝​ are spline functions parameterized on the network edges, representing a novel form of weight adjustment. 2. Accuracy and Efficiency: Empirical evidence suggests KANs achieve higher accuracy with fewer parameters