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 Symbolic Complexity Analysis of Connectionist Algorithms for Distributed-Memory Machines"
  Abstract: This paper attempts to rigorously determine the computation and communication requirements of connectionist algorithms running on a distributed-memory machine. The strategy involves (1) specifying key connectionist algorithms in a high-level object-oriented language, (2) extracting their running times as polynomials, and (3) analyzing these polynomials to determine the algorithms' space and time complexity. Results are presented for various implementations of the back-propagation algorithm [4].

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"
    - "SPERT: A VLIW/SIMD Microprocessor for Artificial Neural Network Computations"
    - "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