human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "an agent driven semantical identifier using radial basis neural networks and reinforcement learning"):
  Abstract: Due to the huge availability of documents in digital form, and the deception possibility raise bound to the essence of digital documents and the way they are spread, the authorship attribution problem has constantly increased its relevance. Nowadays, authorship attribution,for both information retrieval and analysis, has gained great importance in the context of security, trust and copyright preservation. This work proposes an innovative multi-agent driven machine learning technique that has been developed for authorship attribution. By means of a preprocessing for word-grouping and time-period related analysis of the common lexicon, we determine a bias reference level for the recurrence frequency of the words within analysed texts, and then train a Radial Basis Neural Networks (RBPNN)-based classifier to identify the correct author. The main advantage of the proposed approach lies in the generality of the semantic analysis, which can be applied to different contexts and lexical domains, without requiring any modification. Moreover, the proposed system is able to incorporate an external input, meant to tune the classifier, and then self-adjust by means of continuous learning reinforcement.

Includes members:
  Member "a cascade neural network architecture investigating surface plasmon polaritons propagation for thin metals in openmp":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "simplified firefly algorithm for 2d image key points search")
  Member "simplified firefly algorithm for 2d image key points search":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "is swarm intelligence able to create mazes")
  Member "improving files availability for bittorrent using a diffusion model":
    also connected through other hyperedges:
      (none)
  Member "using modularity metrics to assist move method refactoring of large systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "simplified firefly algorithm for 2d image key points search")
  Member "a hybrid neurowavelet predictor for qos control and stability":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "simplified firefly algorithm for 2d image key points search")
  Member "infinite hidden relational models":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "heterogeneous relational reasoning in knowledge graphs with reinforcement learning")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.NE(Neural and Evolutionary Computing)