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 "A Delay Damage Model Selection Algorithm for NARX Neural Networks"):
  Abstract: Recurrent neural networks have become popular models for system identification and time series prediction. NARX (Nonlinear AutoRegressive models with eXogenous inputs) neural network models are a popular subclass of recurrent networks and have been used in many applications. Though embedded memory can be found in all recurrent network models, it is particularly prominent in NARX models. We show that using intelligent memory order selection through pruning and good initial heuristics significantly improves the generalization and predictive performance of these nonlinear systems on problems as diverse as grammatical inference and time series prediction.

Includes members:
  Member "Learning networks for face analysis and synthesis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Receptive Fields for Vision: from Hyperacuity to Object Recognition")
  Member "Pruning Recurrent Neural Networks for Improved Generalization Performance":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Using Recurrent Neural Networks to Learn the Structure of Interconnection Networks")
  Member "PREDICTING SUNSPOTS AND EXCHANGE RATES WITH CONNECTIONIST NETWORKS":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "MIXED MEMORY MARKOV MODELS FOR TIME SERIES ANALYSIS")
  Member "Neural Learning of Chaotic Dynamics: The Error Propagation Algorithm trains a neural network to identify":
    also connected through other hyperedges:
      (none)

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