human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "analysis of a nature inspired firefly algorithm based back propagation neural network training"
  Abstract: Optimization algorithms are normally influenced by meta-heuristic approach. In recent years several hybrid methods for optimization are developed to find out a better solution. The proposed work using meta-heuristic Nature Inspired algorithm is applied with back-propagation method to train a feed-forward neural network. Firefly algorithm is a nature inspired meta-heuristic algorithm, and it is incorporated into back-propagation algorithm to achieve fast and improved convergence rate in training feed-forward neural network. The proposed technique is tested over some standard data set. It is found that proposed method produces an improved convergence within very few iteration. This performance is also analyzed and compared to genetic algorithm based back-propagation. It is observed that proposed method consumes less time to converge and providing improved convergence rate with minimum feed-forward neural network design.

Connected through hyperedge HE-1 (induced by source paper "metaheuristic design of feedforward neural networks"):
  with members:
    - "ensemble of heterogeneous flexible neural trees using multiobjective genetic programming"
    - "deep learning in neural networks"
    - "simultaneous optimization of neural network weights and active nodes using metaheuristics"
    - "a brief review of nature inspired algorithms for optimization"
    - "supervised learning in multilayer spiking neural networks"
    - "meta learning evolutionary artificial neural networks"
    - "on classes of functions for which no free lunch results hold"
    - "reinforcement learning a survey"

Connected through hyperedge HE-2 (induced by source paper "simplified firefly algorithm for 2d image key points search"):
  with members:
    - "a cascade neural network architecture investigating surface plasmon polaritons propagation for thin metals in openmp"
    - "using modularity metrics to assist move method refactoring of large systems"
    - "a hybrid neurowavelet predictor for qos control and stability"

Connected through hyperedge HE-3 (induced by source paper "a comprehensive review of firefly algorithms"):
  with members:
    - "graph 3 coloring with a hybrid self adaptive evolutionary algorithm"
    - "memetic artificial bee colony algorithm for large scale global optimization"
    - "a novel rough set reduct algorithm for medical domain based on bee colony optimization"
    - "distributed graph coloring an approach based on the calling behavior of japanese tree frogs"

Question: Please tell me which class the center node 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.AI(Artificial Intelligence)