Single-hidden-layer feed-forward quantum neural network based on Grover learning

Neural Networks

Volumn 45, Issue , 2013, Pages 144-150

  Liu, Cheng Yi ^a,b   Chen, Chein ^a   Chang, Ching Ter ^c   Shih, Lun Min ^d  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b TRANSWORLD UNIVERSITY   (Taiwan)

^c CHANG GUNG UNIVERSITY   (Taiwan)

^d DA YEH UNIVERSITY   (Taiwan)

Author keywords

Grover algorithm; Neural network; Quantum computing

Indexed keywords

ACTIVATION FUNCTIONS; GROVER ALGORITHM; NETWORK CHARACTERISTICS; NEURAL NETWORK LEARNING; OPTIMAL PARAMETER SETTINGS; QUANTUM COMPUTING; QUANTUM NEURAL NETWORKS; SEARCHING ALGORITHMS;

COMPUTER SIMULATION; DATA PROCESSING; ITERATIVE METHODS; LEARNING ALGORITHMS; NETWORK LAYERS; NEURONS; QUANTUM COMPUTERS; QUANTUM THEORY;

NEURAL NETWORKS;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; COMPUTER SIMULATION; FUZZY SYSTEM; GROVER LEARNING; INTERMETHOD COMPARISON; KERNEL METHOD; LEARNING ALGORITHM; MATHEMATICAL MODEL; NONLINEAR SYSTEM; PRIORITY JOURNAL; PROBABILITY; QUANTUM THEORY; SINGLE HIDDEN LAYER FEED FORWARD QUANTUM NEURAL NETWORK; VALIDATION PROCESS;

GROVER ALGORITHM; NEURAL NETWORK; QUANTUM COMPUTING;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; HUMANS; LEARNING; NEURAL NETWORKS (COMPUTER); NEURONS; PATTERN RECOGNITION, AUTOMATED; QUANTUM THEORY;

EID: 84880926625     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2013.02.012     Document Type: Article

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