human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "Convergence and new operations in SDM new method for converging in the SDM memory, utilizing"
  Abstract: Report R95:13 ISRN : SICS-R--95/13-SE ISSN : 0283-3638 Abstract

Connected through hyperedge HE-1 (induced by source paper "Some Comments on the Information Stored in Sparse Distributed Memory"):
  with members:
    - "Best Probability of Activation and Performance Comparisons for Several Designs of Sparse Distributed Memory"
    - "Capacity of SDM"

Connected through hyperedge HE-2 (induced by source paper "Capacity of SDM"):
  with members:
    - "Best Probability of Activation and Performance Comparisons for Several Designs of Sparse Distributed Memory"
    - "Some Comments on the Information Stored in Sparse Distributed Memory"

Connected through hyperedge HE-3 (induced by source paper "Best Probability of Activation and Performance Comparisons for Several Designs of Sparse Distributed Memory"):
  with members:
    - "Capacity of SDM"
    - "Some Comments on the Information Stored in Sparse Distributed Memory"

Question: Please tell me which class the center node 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