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: "SPRU034A. </note>"
  Abstract: The design and implementation of software for the Ring Array Processor (RAP), a high performance parallel computer, involved development for three hardware platforms: Sun SPARC workstations, Heurikon MC68020 boards running the VxWorks real-time operating system, and Texas Instruments TMS320C30 DSPs. The RAP now runs in Sun workstations under UNIX and in a VME based system using VxWorks. A flexible set of tools has been provided both to the RAP user and programmer. Primary emphasis has been placed on improving the efficiency of layered artificial neural network algorithms. This was done by providing a library of assembly language routines, some of which use node-custom compilation. An object-oriented RAP interface in C++ is provided that allows programmers to incorporate the RAP as a computational server into their own UNIX applications. For those not wishing to program in C++, a command interpreter has been built that provides interactive and shell-script style RAP manipulation.

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:
    - "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"
    - "A Symbolic Complexity Analysis of Connectionist Algorithms for Distributed-Memory Machines"

Connected through hyperedge HE-2 (induced by source paper "Learning Topology-Preserving Maps Using Self-Supervised Backpropagation"):
  with members:
    - "Cholinergic suppression of transmission may allow combined associative memory function and self-organization in the neocortex."

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