35 results about "Composite index" patented technology

The invention provides a method and device for constructing a knowledge graph for crop variety management. The method includes: constructing a field ontology for crop variety management according to a subject word dictionary for crop variety management; acquiring corresponding crop variety management data according to the field ontology, and Knowledge extraction is performed on the variety management data; the extracted knowledge is represented by triples, and a composite index is established; the triples are expanded through knowledge reasoning; according to user interest characteristics, user input behavior characteristics and browsing behavior characteristics, The compound index searches the triplet data set, and generates a different knowledge graph data display interface for each user. The method reduces the degree of manual participation in the process of knowledge graph construction, improves the level of automated construction, helps to solve the problems of low efficiency, low degree of automation, and poor scalability in the construction of knowledge graphs for crop variety management, and provides intuitive and convenient knowledge organization, management and presentation.

The invention discloses a method for evaluating the accuracy and completeness of a three-dimensional reconstruction point cloud. The specific steps include the following steps: (1) performing spatial point cloud registration on the ground truth point cloud model G and the reconstructed point cloud model R; (2) according to the The relative scale unit ε is obtained by calculating the true value point cloud model G; (3) taking the relative scale unit ε as the measurement unit and the distance coefficient as d, the evaluation accuracy P(d) and completeness C(d) and composite indicator F(d). The present invention provides a method for evaluating the accuracy and completeness of the three-dimensional reconstruction point cloud by objectively and quantitatively evaluating the accuracy and completeness of the point cloud model obtained from the three-dimensional reconstruction to promote the further development of the reconstruction technology.

The invention discloses a forecasting method, device, equipment and medium based on capital flow forecasting rate of return. The forecasting method includes: acquiring sampled macro-fund flow variables and the monthly data sequence of the return rate of the Shanghai Stock Exchange Index. The macro-fund flow variables include money supply and Bank overnight lending rate; carry out unit root test on the monthly data sequence, and determine whether the unit root characteristic of the monthly data sequence after the unit root test meets the grace condition of the multivariate cointegration test; the unit root characteristic is that the monthly data sequence is N i Order integrated sequence, N i ≥0; when the unit root characteristics meet the grace conditions of the multivariate cointegration test, the Johansen maximum likelihood estimation method is used to determine the co-integration relationship between the monthly data series of the macro-fund flow variable and the monthly data series of the Shanghai Stock Exchange index yield; according to The VECM model established based on the co-integration relationship predicts the return rate of the Shanghai stock index. The forecasting method of the invention fills in the gap that there is still a lack of macro capital flow indicators to forecast the Chinese stock index.