Abstract: A method, an apparatus, and a system for generating a neural network model, a device, a medium, and a program product are provided. In an embodiment, a first device sends an indication about a structure of a subnetwork model to a second device, where the subnetwork model is determined by adjusting a structure of a hypernetwork model. The first device receives a parameter of the subnetwork model from the second device, where the parameter of the subnetwork model is determined by the second device based on the indication and the hypernetwork model. The first device trains the subnetwork model based on the received parameter of the subnetwork model. The first device sends a parameter of the trained subnetwork model to the second device for the second device to update the hypernetwork model. In the foregoing manner, an efficient federated learning scheme between a plurality of devices is provided.

Abstract: A method for route handling of a regional centralized control station is based on a CTC3.0 technology, and includes the following steps: step (1): generating multi-station train and shunting plans according to a multi-station planning terminal, and executing steps (2) and (4) at the same time; step (2): sending the train plan to an autonomous computer to generate a train route sequence, and executing step (3); step (3): sending, by the autonomous computer, the train route sequence to a regional centralized control route handling terminal; step (4): compiling, by the multi-station planning terminal, an automatically generated shunting route sequence in the shunting plan, and executing step (5); and step (5): synchronizing, by a center service, the shunting route sequence to the regional centralized control route handling terminal.

Abstract: The present invention relates to a CTC3.0-based implementation method for route handling of a regional centralized control station. The method is based on a CTC3.0 technology, and includes the following steps: step (1): generating multi-station train and shunting plans according to a multi-station planning terminal, and executing steps (2) and (4) at the same time; step (2): sending the train plan to an autonomous computer to generate a train route sequence, and executing step (3); step (3): sending, by the autonomous computer, the train route sequence to a regional centralized control route handling terminal; step (4): compiling, by the multi-station planning terminal, an automatically generated shunting route sequence in the shunting plan, and executing step (5); and step (5): synchronizing, by a center service, the shunting route sequence to the regional centralized control route handling terminal.

Abstract: Copper alloys, methods for producing copper alloys, and copper tubes are provided. The copper alloys include an alpha solid solution formed from phosphorous deoxidized copper and at least one trace element comprising tin. The content of tin ranges from about 0.1% to about 2.0% by weight of the copper alloy. The trace element can further include zinc in an amount from about 0.05% to about 1.0% by weight of the copper alloy. The copper alloys have an increased tensile strength due to the strengthening effect by the alpha solid solution formed by phosphorous deoxidized copper and tin as the trace element, and accordingly a copper tube made from the copper alloy has a significantly improved pressure resistance.