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 "Interconnected Automata and Linear Systems: A Theoretical Framework in Discrete-Time In Hybrid Systems III: Verification"):
  Abstract: This paper summarizes the definitions and several of the main results of an approach to hybrid systems, which combines finite automata and linear systems, developed by the author in the early 1980s. Some related more recent results are briefly mentioned as well.

Includes members:
  Member "LINEAR SYSTEMS WITH SIGN-OBSERVATIONS":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Sample Complexity for Learning Recurrent Perceptron Mappings")
  Member "POWER OF NEURAL NETS":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Can Recurrent Neural Networks Learn Natural Language Grammars? W&Z recurrent neural networks are able to")
  Member "OBSERVABILITY IN RECURRENT NEURAL NETWORKS":
    also connected through other hyperedges:
      - Hyperedge HE-3 (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