A Quantum Implementation Model for Artificial Neural Networks
The learning process for multilayered neural networks with many nodes makes heavy demands on computational resources. In some neural network models, the learning formulas, such as the Widrow–Hoff formula, do not change the eigenvectors of the weight matrix while flatting the eigenvalues. In infinity...
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| Format: | Article |
| Language: | English |
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Quanta
2018-02-01
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| Series: | Quanta |
| Online Access: | http://quanta.ws/ojs/index.php/quanta/article/view/65 |