In the cerebral cortex, numerous neurons exchange information through junctions known as synapses. The strength of each ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

With the rapid growth of the international banking industry, bank failures can lead to severe economic losses and social impacts. Although existing measures to address such failures are well-developed ...

Accurate remaining useful life (RUL) prediction is of great significance to the safe operation of aircraft. Graph neural network (GNN) can describe the spatial structure relationship between variables ...

Recently, neural network-based intra prediction has achieved great success. Deep network models are trained and applied to assist the HEVC and VVC intra modes. In this paper, we propose a novel ...

Make a prediction. Now, let’s use the network to make a prediction. We’re going to use a simple data set of two input integers and an answer format of 0 to 1.

In recent years, neural network has received increasing attention given its strong ability in data prediction. Nevertheless, most neural networks only focus on one specific feature of the selected ...