Optimal CNN-Hopfield Network for Pattern Recognition Based on a Genetic Algorithm
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DOI: 10.3390/a15010011
Abstract: Convolutional neural networks (CNNs) have powerful representation learning capabilities by automatically learning and extracting features directly from inputs. In classification applications, CNN models are typically composed of: convolutional layers, pooling layers, and fully connected (FC)… read more here.
Keywords: cnn hopfield; optimal cnn; genetic algorithm; hopfield network ... See more keywords