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Artificial Neural Microcircuits as Building Blocks: Concept and Challenges
Artificial Neural Networks (ANNs) are one of the most widely employed forms of bio-inspired computation.
Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN
Therefore, this paper considers optimising the computational resource consumption by reducing the size and number of kernels in convolutional layers.
Morpho-evolution with learning using a controller archive as an inheritance mechanism
This causes a potential mismatch between the structure of an inherited controller and the new body.
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