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: "Object Oriented Design of a BP Neural Network Simulator and Implementation on the Connection Machine (CM-5)"
  Abstract: In this paper we describe the implementation of the backpropagation algorithm by means of an object oriented library (ARCH). The use of this library relieve the user from the details of a specific parallel programming paradigm and at the same time allows a greater portability of the generated code. To provide a comparision with existing solutions, we survey the most relevant implementations of the algorithm proposed so far in the literature, both on dedicated and general purpose computers. Extensive experimental results show that the use of the library does not hurt the performance of our simulator, on the contrary our implementation on a Connection Machine (CM-5) is comparable with the fastest in its category.

Connected through hyperedge HE-1 (induced by source paper "SPERT: A VLIW/SIMD Microprocessor for Artificial Neural Network Computations"):
  with members:
    - "Connectionist Layered Object-Oriented Network Simulator (CLONES): User's Manual minimize the learning curve for using CLONES,"
    - "Simulation of Reduced Precision Arithmetic for Digital Neural Networks Using the RAP Machine"

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