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: "Connectionist Layered Object-Oriented Network Simulator (CLONES): User's Manual minimize the learning curve for using CLONES,"
  Abstract: CLONES is a object-oriented library for constructing, training and utilizing layered connectionist networks. The CLONES library contains all the object classes needed to write a simulator with a small amount of added source code (examples are included). The size of experimental ANN programs is greatly reduced by using an object-oriented library; at the same time these programs are easier to read, write and evolve. The library includes database, network behavior and training procedures that can be customized by the user. It is designed to run efficiently on data parallel computers (such as the RAP [6] and SPERT [1]) as well as uniprocessor workstations. While efficiency and portability to parallel computers are the primary goals, there are several secondary design goals: 3. allow heterogeneous algorithms and training procedures to be interconnected and trained together. Within these constraints we attempt to maximize the variety of artificial neural net work algorithms that can be supported.

Connected through hyperedge HE-1 (induced by source paper "A Symbolic Complexity Analysis of Connectionist Algorithms for Distributed-Memory Machines"):
  with members:
    (none)

Connected through hyperedge HE-2 (induced by source paper "SPRU034A. </note>"):
  with members:
    - "Learning Topology-Preserving Maps Using Self-Supervised Backpropagation"

Connected through hyperedge HE-3 (induced by source paper "Simulation of Reduced Precision Arithmetic for Digital Neural Networks Using the RAP Machine"):
  with members:
    - "SPERT: A VLIW/SIMD Microprocessor for Artificial Neural Network Computations"

Connected through hyperedge HE-4 (induced by source paper "SPERT: A VLIW/SIMD Microprocessor for Artificial Neural Network Computations"):
  with members:
    - "Object Oriented Design of a BP Neural Network Simulator and Implementation on the Connection Machine (CM-5)"
    - "Simulation of Reduced Precision Arithmetic for Digital Neural Networks Using the RAP Machine"

Connected through hyperedge HE-5 (induced by source paper "ICSIM: An Object-Oriented Connectionist Simulator gives an overview of the simulator. Its main concepts, the"):
  with members:
    - "ICSIM: An Object Oriented Simulation Environment for Structured Connectionist Nets. Class Project Report, Physics 250"

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