3 results about "Structure chart" patented technology

The invention provides an information detection method, device and equipment, a medium and a program product, which can be applied to the technical field of artificial intelligence. The information detection method comprises the following steps: acquiring a social network structure chart and to-be-detected information; performing feature extraction on the to-be-detected information to obtain a semantic feature vector; constructing multiple groups of cue words based on the to-be-detected information and the social network structure chart, and performing propagation graph simulation based on the multiple groups of cue words to obtain a propagation graph representing a propagation path of the to-be-detected information; feature extraction is carried out on the propagation graph to obtain a propagation graph feature vector, and the propagation graph feature vector represents structure information of the propagation graph and behavior information of the user nodes; and inputting the semantic feature vector and the propagation graph feature vector into a trained prediction neural network to obtain a detection result of the to-be-detected information.

The invention relates to a circuit layout method and device, equipment, a storage medium and a program product. The circuit layout method comprises the following steps: searching a repetitive unit group with the same topological structure as that of a layout template in a circuit topological structure chart, wherein the repetitive unit group comprises a plurality of circuit units; multiple repetitive unit groups corresponding to the same layout template are aggregated into independent layout units, and the multiple repetitive unit groups corresponding to the same layout template have the same relative position relation between circuit units after layout; and carrying out layout on the independent layout units. The layout design efficiency is remarkably improved, layout errors caused by manual operation are avoided, and the layout design accuracy is improved.

The application discloses a kind of ship structure standardization design data analysis methods based on AI, comprising the following steps: using unlabeled data to carry out bimodal self-supervised pre-training to HGT, through geometric attribute cover prediction and edge existence prediction, loss is optimized jointly;Obtain the labeled ship structure chart data;Parallelly embed error transmission module in pre-training model, obtain final cumulative error;The labeled data is input into the HGT after embedding error transmission module, calculate size prediction loss, assembly constraint loss, and obtain fine-tuning model by optimizing jointly;Target structure chart data is input into fine-tuning model, and each node design size prediction value and tolerance band are output;Standardized design data is generated.The application realizes the efficient reuse and construction process cooperation of ship structure design data, and improves the design standardization degree and engineering adaptability.