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 "FURTHER FACTS ABOUT INPUT TO STATE STABILIZATION "Further facts about input to state stabilization", IEEE"):
  Abstract: Report SYCON-88-15 ABSTRACT Previous results about input to state stabilizability are shown to hold even for systems which are not linear in controls, provided that a more general type of feedback be allowed. Applications to certain stabilization problems and coprime factorizations, as well as comparisons to other results on input to state stability, are also briefly discussed.

Includes members:
  Member "A Characterization of Integral Input to State Stability":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "A Smooth Converse Lyapunov Theorem for Robust Stability")
  Member "New Characterizations of Input to State Stability":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "A Smooth Converse Lyapunov Theorem for Robust Stability")
  Member "FEEDBACK STABILIZATION OF NONLINEAR SYSTEMS":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "FEEDBACK STABILIZATION USING TWO-HIDDEN-LAYER NETS")

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