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A neural network is a machine learning model that is inspired by the structure and function of the brain. It is a network of interconnected nodes, which are called artificial neurons that process ...

Recently, frequency security is challenged by high uncertainty and low inertia in power system with high penetration of Renewable Energy Sources (RES). In the context of Unit Commitment (UC) problems, ...

This Research Topic serves as a repository of the research presentations and communications at the 2023 summer conference titled “Structure, Function and Development of Neural Circuits” (August 21-23, ...

This basic structure will guide us in investigating behavioral strategy," Sun continues. "After more details are acquired, we may translate it to an artificial neural network, using it to solve ...

In contrast, biological systems dynamically rewire synaptic connections during learning, suggesting that dynamic pruning (also known as structure learning) and rewiring can enhance neural network ...