5 results about "Optimal methods" patented technology

The application discloses a social network link prediction method based on a space-time feature perception time sequence diagram network, which divides key features in a time sequence diagram into two categories of time sequence features and structure features, for the time sequence features, through adaptive fusion of a continuous time method and a discrete method, long sequence dependence and recent dependence are effectively captured and weighed, for the graph structure features, through co-occurrence neighbor coding, graph structure information is effectively explicitly coded, and a hash-based method is used to improve co-occurrence neighbor retrieval efficiency. Such a method not only exceeds previous methods in prediction accuracy by fully capturing time sequence features and structure features, for example, the average accuracy is improved by 14.18%, 15.89% and 32.48% respectively on USLegis, UNtrade and Unvote data sets compared with previous optimal methods, and better trade-off is achieved in inference efficiency. And it is simple to realize and easy to reproduce.

The invention discloses a polynomial kernel-based support vector regression model reverse inversion simulation parameter optimal value method, and relates to the technical field of numerical simulation parameter calibration. According to the method, a data set is constructed by designing a simulation parameter value combination, a prediction model is constructed by adopting polynomial kernel function support vector regression (Poly-SVR), hyper-parameter optimization is realized by combining 5-fold cross validation and grid search, and finally, reverse mapping of a response quantity and a simulation parameter is completed by utilizing an L-BFGS-B algorithm. The method solves the problems that a traditional response surface method is low in calibration precision and high in overfitting risk in a small sample scene, achieves efficient and accurate inversion of simulation parameters, and is suitable for various engineering application scenes where the simulation parameters need to be reversely determined through the actual measurement response quantity.

The embodiment of the invention provides an optimization selection method and device for waste slag field design, electronic equipment and a storage medium, and relates to the technical field of geotechnical engineering.The method comprises the steps that the attribute value of a target analysis factor in each to-be-evaluated waste slag field design is obtained, the target analysis factors comprise one or more of an ecological land occupation rate, a maximum slag stacking height, a slag stacking coefficient and a stacking height coefficient; for each to-be-evaluated abandoned slag yard design, according to a pre-configured scoring rule, respectively mapping an attribute value of each target analysis factor in the abandoned slag yard design into a single factor score for representing the value rationality of the attribute value, determining a comprehensive score of the abandoned slag yard design according to the abandoned slag yard design and the single factor score corresponding to each target analysis factor; and determining an optimal abandoned slag yard design according to the comprehensive score of each abandoned slag yard design to be evaluated. By applying the embodiment of the invention, the optimal waste slag field design can be determined from the plurality of to-be-evaluated waste slag field designs.

The application provides a sandstone and conglomerate OVT domain partitioned gather optimization stacking offset optimization method, which comprises the following steps: step 1, determining the fan body burial depth H and the fan body plan distribution map of the target layer in a research area; step 2, reasonably optimizing a real drilling well reconstruction time-depth relationship function formula A in the research area; step 3, calculating a fan body dip angle alpha; step 4, determining the maximum effective offset l2 of the reflection flat section of the target layer in the research area; step 5, calculating the minimum effective offset l1 of the target layer fan body in the research area; and step 6, obtaining the optimal gather stacking offset range l of the target layer fan body in the research area by comprehensively combining the step 4 and the step 5. The sandstone and conglomerate OVT domain partitioned gather optimization stacking offset optimization method can calculate the optimal offset range of the OVT domain partitioned gather optimization stacking of the target layer, and the obtained seismic data volume can better reflect the sandstone and conglomerate fan body distribution range and the effective reservoir development area.

The invention provides a target point error sensitivity index-based attitude adjustment mechanism position control axis optimization method, which specifically comprises the following steps of: firstly, deducing an attitude deviation equation of an aircraft large component according to a coordinate system conversion principle; thirdly, constructing a mapping relation between the motion error of the positioner and the pose deviation of the large component, so as to determine Jacobian vectors corresponding to all axes of the positioner, and obtaining a transfer matrix between the motion error of the positioner and the positioning error of the large component of the aircraft in combination with the spatial position deviation of the target point; and finally, optimizing the combination of the position control shafts according to the maximum singular value of the positioning error transfer matrix of the large part of the aircraft. According to the method, the weighted deviation of the target point is taken as an optimization target, and the position control axis combination is optimized in real time based on the positioning error transfer matrix of the large aircraft component, so that the positioning precision of the large aircraft component is improved.