Abstract: Methods and systems are provided for a differential equations network. In one example, the differential equations network comprises one or more neuron within a single neural layer, where each of the neurons is configured to learn an activation function different or similar to an activation function learned by a different neuron within the same layer.

Abstract: Methods and systems are provided for a differential equations network. In one example, the differential equations network comprises one or more neuron within a single neural layer, where each of the neurons is configured to learn an activation function different or similar to an activation function learned by a different neuron within the same layer.

Abstract: A pressure vessel 10 comprises a container 13 for storing contents under pressure, a head section 11 and a base section 12. The head section 11 and base section 12 locate on opposing ends of the container 13 and each have projecting fingers 22, preferably five, which engage around the container 13. A retaining ring 14 locates around the container 13 and holds the fingers 22 in place. The head section 11, base section 12 and ring 14 all serve to resist expansion of the container 13. The pressure vessel may serve to store beverages such as beer.