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 "Routing in Optical Multistage Interconnection Networks: a Neural Network Solution"):
  Abstract: There has been much interest in using optics to implement computer interconnection networks. However, there has been little discussion of any routing methodologies besides those already used in electronics. In this paper, a neural network routing methodology is proposed that can generate control bits for a broad range of optical multistage interconnection networks (OMINs). Though we present no optical implementation of this methodology, we illustrate its control for an optical interconnection network. These OMINs can be used as communication media for distributed computing systems. The routing methodology makes use of an Artificial Neural Network (ANN) that functions as a parallel computer for generating the routes. The neural network routing scheme can be applied to electrical as well as optical interconnection networks. However, since the ANN can be implemented using optics, this routing approach is especially appealing for an optical computing environment. Although the ANN does not always generate the best solution, the parallel nature of the ANN computation may make this routing scheme faster than conventional routing approaches, especially for OMINs that have an irregular structure. Furthermore, the ANN router is fault-tolerant. Results are shown for generating routes in a 16 fi 16, 3-stage OMIN.

Includes members:
  Member "Performance of On-Line Learning Methods in Predicting Multiprocessor Memory Access Patterns":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Using Recurrent Neural Networks to Learn the Structure of Interconnection Networks")

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