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: "SPERT: A VLIW/SIMD Microprocessor for Artificial Neural Network Computations"
  Abstract: SPERT (Synthetic PERceptron Testbed) is a fully programmable single chip microprocessor designed for efficient execution of artificial neural network algorithms. The first implementation will be in a 1.2 m CMOS technology with a 50MHz clock rate, and a prototype system is being designed to occupy a double SBus slot within a Sun Sparcstation. SPERT will sustain over 300 fi 10 6 connections per second during pattern classification, and around 100 fi 10 6 connection updates per second while running the popular error backpropagation training algorithm. This represents a speedup of around two orders of magnitude over a Sparcstation-2 for algorithms of interest. An earlier system produced by our group, the Ring Array Processor (RAP), used commercial DSP chips. Compared with a RAP multiprocessor of similar performance, SPERT represents over an order of magnitude reduction in cost for problems where fixed-point arithmetic is satisfactory. fl International Computer Science Institute, 1947 Center Street, Berkeley, CA 94704

Connected through hyperedge HE-1 (induced by source paper "Connectionist Layered Object-Oriented Network Simulator (CLONES): User's Manual minimize the learning curve for using CLONES,"):
  with members:
    - "SPRU034A. </note>"
    - "ICSIM: An Object-Oriented Connectionist Simulator gives an overview of the simulator. Its main concepts, the"
    - "Simulation of Reduced Precision Arithmetic for Digital Neural Networks Using the RAP Machine"
    - "A Symbolic Complexity Analysis of Connectionist Algorithms for Distributed-Memory Machines"

Connected through hyperedge HE-2 (induced by source paper "Simulation of Reduced Precision Arithmetic for Digital Neural Networks Using the RAP Machine"):
  with members:
    - "Connectionist Layered Object-Oriented Network Simulator (CLONES): User's Manual minimize the learning curve for using CLONES,"

Connected through hyperedge HE-3 (induced by source paper "Object Oriented Design of a BP Neural Network Simulator and Implementation on the Connection Machine (CM-5)"):
  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