30 results about "Kriging algorithm" patented technology

The invention discloses a deterministic method for qualitatively identifying the top and bottom interfaces of hydrate in the sea, which includes the following steps: A, getting multiple sensitive attributes for identifying hydrate through seismic reflection characteristic research, AVO, elastic wave impedance inversion and other research methods; B, calculating the weight coefficients of the attributes by analyzing the relationship between the sensitive attributes and hydrate characteristics, and getting attributes used to identify the hydrate characteristics through information fusion analysis; C, studying the spatial correlation between the weighted attributes and sonic skew log variables, and building a model capable of reflecting the hydrate characteristics through a collaborative Kriging algorithm based on the information of the weighted attributes; and D, on the basis of collaborative Kriging modeling, carrying out global optimization broadband constrained inversion to qualitatively identify the top and bottom interfaces of hydrate. The limitation brought by a single technology and the multi-solution interference are reduced. A favorable target of hydrate can be found more accurately, and the top and bottom interfaces of hydrate can be identified.

The invention discloses an increment ionosphere refraction error correction method which is applied to a GNSS single-frequency user. The method comprises a monitoring station utilizes ionosphere model parameters broadcasted by a GNSS system itself to calculate ionosphere vertical TEC1, and meanwhile, utilizes double-frequency observation data to calculate ionosphere vertical TEC2, and difference value [delta] TEC between the TEC1 and the TEC2 is obtained; a plurality of monitoring stations transmit the [delta] TECs of themselves to a master control station through a communication link; the master control station receives each [delta] TEC, establishes an ionosphere increment variation model, obtains ionosphere increment variation model broadcast parameters a, b and c in a region, and transmits and broadcasts the a, b and c to the user through a broadcast link; a user receiver receives a navigation signal and the a, b and c, utilizes the ionosphere model parameters broadcasted by the GNSS system itself to calculate TEC <GNSS>, utilizes the a, b and c to estimate optimum estimation value (shown in the specification ) of the ionosphere increment through a common Kriging algorithm, and adds the TEC <GNSS> with the optimum estimation value (shown in the specification ) to obtain TEC ; and the TEC is utilized to calculate ionosphere addition time delay, so that high-precision ionosphere refraction error correction for the GNSS single-frequency user is realized.

The invention provides an overhead weapon station structure optimizing method based on an improved Kriging algorithm. The method includes the following steps of firstly, presetting the ranges of the elasticity modulus of a supporting frame, the mass of an ammunition can and the rigidity of a buffer; secondly, designing, selecting and obtaining N sets of sample points through a Latin hypercube test; thirdly, calculating vibration comprehensive parameters of gun muzzles; fourthly, establishing an initial training sample point set by combining the N sets of sample points with the vibration comprehensive parameters of the N gun muzzles; fifthly, optimizing a Kriging agent model through a genetic algorithm, and finding the optimal point and the maximum expectation improvement point; sixthly, optimizing the structural parameter optimizing problem on the basis of a duplex Kriging model sequence iterative optimizing algorithm till the algorithmconverges. By means of the method, through the optimization design of the elasticity modulus of the supporting frame, the mass of the ammunition can and the rigidity of the buffer, the disturbance quantity of the gun muzzles is made the minimum.