human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Using Fourier-Neural Recurrent Networks to Fit Sequential Input/Output Data"):
  Abstract: This paper suggests the use of Fourier-type activation functions in fully recurrent neural networks. The main theoretical advantage is that, in principle, the problem of recovering internal coefficients from input/output data is solvable in closed form.

Includes members:
  Member "NETWORKS, FUNCTION DETERMINES FORM":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "NEURAL NETS AS SYSTEMS MODELS AND CONTROLLERS suitability of "neural nets" as models for dynamical")
  Member "OBSERVABILITY IN RECURRENT NEURAL NETWORKS":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "NETWORKS, FUNCTION DETERMINES FORM")

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) belongs to. The 7 classes are: Neural_Networks, Reinforcement_Learning, Probabilistic_Methods, Theory, Genetic_Algorithms, Case_Based, Rule_Learning. Directly output the class name.

gpt: Neural_Networks