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: "A Supercomputer for Neural Computation"
  Abstract: The requirement to train large neural networks quickly has prompted the design of a new massively parallel supercomputer using custom VLSI. This design features 128 processing nodes, communicating over a mesh network connected directly to the processor chip. Studies show peak performance in the range of 160 billion arithmetic operations per second. This paper presents the case for custom hardware that combines neural network-specific features with a general programmable machine architecture, and briefly describes the design in progress.

Connected through hyperedge HE-1 (induced by source paper "A Performance Analysis of CNS-1 on Sparse Connectionist Networks"):
  with members:
    - "All-to-all Broadcast on the CNS-1"
    - "A Performance Analysis of the CNS-1 on Large, Dense Backpropagation Networks Connectionist Network Supercomputer"

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