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: "Adaptive Wavelet Control of Nonlinear Systems"
  Abstract: This paper considers the design and analysis of adaptive wavelet control algorithms for uncertain nonlinear dynamical systems. The Lyapunov synthesis approach is used to develop a state-feedback adaptive control scheme based on nonlinearly parametrized wavelet network models. Semi-global stability results are obtained under the key assumption that the system uncertainty satisfies a "matching" condition. The localization properties of adaptive networks are discussed and formal definitions of interference and localization measures are proposed.

Connected through hyperedge HE-1 (induced by source paper "An Analytical Framework for Local Feedforward Networks"):
  with members:
    - "Local Feedforward Networks"

Connected through hyperedge HE-2 (induced by source paper "Space-Frequency Localized Basis Function Networks for Nonlinear System Estimation and Control"):
  with members:
    - "Learning networks for face analysis and synthesis"
    - "Identification and Control of Nonlinear Systems Using Neural Network Models: Design and Stability Analysis"
    - "Priors, Stabilizers and Basis Functions: from regularization to radial, tensor and additive splines"
    - "Minimax Estimation via Wavelet Shrinkage  a pleasure to acknowledge friendly conversations with Gerard Kerkyacharian,"

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