HIGHLIGHTS
- who: Quantum gate circuit et al. from the Shenyang Aerospace University Shenyang, PR China have published the research work: QGA-QGCNN:A model of Quantum Gate Circuit Neural Network optimized by Quantum Genetic Algorithm, in the Journal: (JOURNAL)
- what: The main reason is that the learning rate is set too large and the model cannot converge, and the model cannot be created effectively. Hereafter, complete training of the QGA-QGCNN model with the learning algorithm QGA-QGCNN algorithm proposed in this Article, the process is shown in Figure 4.
- how: In this paper . . .
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