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: "Achieving Super Computer Performance with a DSP Array Processor"
  Abstract: The MUSIC system (MUlti Signal processor system with Intelligent Communication) is a parallel distributed memory architecture based on digital signal processors (DSP). A system with 60 processor elements is operational. It has a peak performance of 3.8 GFlops, an electrical power consumption of less than 800 W (including forced air cooling) and fits into a 19" rack. Two applications (the back-propagation algorithm for neural net learning and molecular dynamics simulations) run about 6 times faster than on a CRAY Y-MP and 2 times faster than on a NEC SX-3. A sustained performance of more than 1 GFlops is reached. The selling price of such a system would be in the range of about 300'000 US$.

Connected through hyperedge HE-1 (induced by source paper "Programming Environment for a High Performance Parallel Supercomputer with Intelligent Communication"):
  with members:
    (none)

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