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: "Neural Learning of Chaotic Dynamics: The Error Propagation Algorithm trains a neural network to identify"
  Abstract: Technical Report UMIACS-TR-97-77 and CS-TR-3843 Abstract

Connected through hyperedge HE-1 (induced by source paper "A Delay Damage Model Selection Algorithm for NARX Neural Networks"):
  with members:
    - "Learning networks for face analysis and synthesis"
    - "Pruning Recurrent Neural Networks for Improved Generalization Performance"
    - "PREDICTING SUNSPOTS AND EXCHANGE RATES WITH CONNECTIONIST NETWORKS"

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