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 "GA-RBF: A Self-Optimising RBF Network"):
  Abstract: The effects of a neural network's topology on its performance are well known, yet the question of finding optimal configurations automatically remains largely open. This paper proposes a solution to this problem for RBF networks. A self- optimising approach, driven by an evolutionary strategy, is taken. The algorithm uses output information and a computationally efficient approximation of RBF networks to optimise the K-means clustering process by co-evolving the two determinant parameters of the network's layout: the number of centroids and the centroids' positions. Empirical results demonstrate promise.

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 "Learning Controllers for Industrial Robots":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "FONN: Combining First Order Logic with Connectionist Learning")
  Member "GROWING RADIAL BASIS FUNCTION NETWORKS":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Learning Controllers for Industrial Robots")
  Member "Evolving Fuzzy Prototypes for Efficient Data Clustering":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "SUPERVISED COMPETITIVE LEARNING FOR FINDING POSITIONS OF RADIAL BASIS FUNCTIONS")

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