9 results about "Optimal criterion" patented technology

The invention provides a method and a system for acquiring two rows of elements by a numerical orbit recursion device. The method comprises the following steps of: inputting a two-row element template; determining orbit time reference points corresponding to the two rows of elements; according to a set numerical value recursion device model, a numerical value recursion device obtains a position value sequence of the track in the set space coordinate system within a period of time; converting the position value sequence obtained by the numerical recursion device into a true equatorial mean equinox coordinate system; obtaining two rows of elements by using a single-point method through the two rows of element templates; taking the two rows of elements obtained by the single-point method as an initial orbit, and solving an orbit parameter estimation value in the two rows of elements under an optimal criterion by utilizing a least square method; calculating an orbit residual error sequence corresponding to an orbit parameter estimation value in the two rows of elements; and fitting the residual error by using a polynomial model to obtain a compensation item. The method is easy to implement, the numerical orbit recursion device can be effectively applied to be converted into two rows of elements, and the method can be compatible with time periods with orbit maneuvering.

This invention relates to the fields of civil engineering structural safety inspection and machine learning technology, and discloses a machine learning-based collaborative evaluation method and system for the mechanical properties of concrete components. The method constructs a coupled graph of mechanical indices with confidence levels, trains a missing-node-aware joint evaluation model, and suppresses the propagation of noise from missing nodes through joint attenuation of observability masks and edge confidence weights. Then, it performs weighted SHAP interaction effect analysis and hierarchical verification, and generates a supplementary detection scheme with comprehensive information gain ranking based on the D-optimal criterion. Through iterative closed-loop optimization, it outputs the collaborative evaluation results and evaluation confidence levels of the concrete component's compressive strength, splitting tensile strength, and elastic modulus.

The application discloses a phase transition super-elastic material topology optimization method based on a nonlinear constitutive model and belongs to the technical field of intelligent material structure design and multi-physical field optimization. The method comprises the following steps: establishing a super-elastic constitutive model containing a martensitic volume fraction to describe the coupling relationship between material phase transition behavior and mechanical properties; constructing a topology optimization model with the minimum structural flexibility as an objective and the volume fraction and a balance equation as constraints; adopting an additional super-elastic technology of dynamic reconstruction to solve the numerical instability problem in the optimization process; performing sensitivity analysis through an adjoint vector method; and obtaining an optimal topology configuration through iterative solution by using an optimal criteria method. The application can efficiently and stably realize the structure optimization of the phase transition super-elastic material, significantly improves the calculation efficiency and numerical stability of the optimization process, and is suitable for the structure design of intelligent materials such as shape memory alloys in the fields of aerospace, medical devices and the like.

The invention discloses a servo controller accelerated degradation test method based on multi-parameter optimization. The method comprises the following steps: constructing a servo controller multi-parameter accelerated degradation model: constructing the servo controller multi-parameter accelerated degradation model through a Wiener process model, an Arrhenius model and a Gaussian Copula function; constructing a multi-parameter comprehensive optimal criterion; deducing a service life distribution function of the servo controller at a normal working temperature; on the basis of a V-optimal criterion, a multi-parameter comprehensive optimal criterion is constructed by taking minimization of the quantile life asymptotic variance of the servo controller as an optimization target so as to form an optimization target function; and constructing and solving an accelerated degradation test optimization model: constructing the accelerated degradation test optimization model by taking the optimization target function as a target, and solving the accelerated degradation test optimization model by adopting a genetic algorithm to obtain a servo controller accelerated degradation test scheme. The evaluation precision of predicting the service life and reliability of the servo controller based on the test data is remarkably improved.

The invention relates to the technical field of traffic planning, and particularly provides a method, medium, equipment and product for selecting expressway direction sign information, and the method can comprise the steps: obtaining an effective path set between any OD pair in an expressway network; based on the effective path set, carrying out network equalization solution under a system optimal criterion, and obtaining traffic distribution data of each road section in a plurality of road sections in the effective path set; obtaining a global optimal solution based on the flow distribution data of each road section and a multi-target guide sign information optimization model; converting the global optimal solution into a guide sign information selection scheme according to a guide information conversion rule; wherein the direction sign information selection scheme comprises place name guidance information of different road sections in any OD pair. According to the embodiment of the invention, the reasonability of the direction sign information design can be improved.

The invention relates to an ocean sensor network positioning optimization deployment method driven by a quantum optimization framework, and the method comprises the following steps: obtaining related data of an ocean sensor network, considering the influence of an underwater acoustic signal in an ocean non-uniform environment, introducing a Snell law and a ray tracing theorem, and constructing a TOA-based constant-gradient acoustic signal ranging model; constructing an OSNs optimal deployment strategy function based on an A-optimal criterion according to the TOA-based constant gradient sound signal ranging model, and reconstructing the OSNs optimal deployment strategy function by considering unknown influence of target prior information; and solving the reconstructed OSNs optimal deployment strategy function based on the A-optimal criterion by adopting an improved sparrow search algorithm driven by quantum calculation to obtain the optimal deployment position of the anchor node in the ocean sensor network under the condition that the target is unknown in prior. Compared with the prior art, the method has the advantages of optimizing the deployment positions of the anchor nodes and the like.

The present disclosure provides a test design method and system for affecting the production of bacillus subtilis spores, relating to the technical field of statistical test design, comprising obtaining basic test information of a test, determining a relationship model between a test response and influencing factors; according to the value range of each factor and the number of each factor level, the candidate set of each factor and the design space of the test are determined; using a recursive search strategy, starting from all support points in the current test design, recursively searching for points with larger gradients in the test space, and adding these points to the test design to obtain the next second test design; adjusting the weight of the design points in the second test design to obtain the third test design, using the optimal function to check whether the third test design meets the optimal criteria, if it meets, the current test design is the optimal test design. The problem of low quality of feasible solutions under the condition of limited calculation time is solved.

The invention discloses a gradient method-based two-dimensional photonic crystal multi-target topological optimization method, which comprises the following steps of: constructing a finite element analysis model of a photonic crystal, taking the relative density of a unit as a design variable, and parameterizing material attributes by adopting a material interpolation model; discrete characteristic frequency data are acquired and smoothed; constructing a multi-objective optimization problem with the objective of simultaneously maximizing the band gap width and minimizing the structural flexibility, or simultaneously maximizing the band gap width and minimizing the thermal flexibility; respectively calculating the sensitivity of each target function to the design variable, and carrying out normalization processing; carrying out weighted fusion on the normalized sensitivity; filtering and historically averaging the sensitivity field to smooth the update process; a clear topological structure is obtained by using Heaviside projection; updating design variables based on an optimal criterion method; and iteratively optimizing until a preset convergence criterion is met, and outputting an optimal topological configuration. The design efficiency of the comprehensive performance of the photonic crystal is remarkably improved.

The application discloses a histogram equalization method based on hierarchical clustering and belongs to the technical field of image processing.The application comprises the following steps: carrying out gray processing on an original image and counting a histogram of the original image, carrying out hierarchical clustering on a one-dimensional point value mapped from the histogram and scheme traversal, superimposing an equalization mode of corresponding combination and seeking an equalization image first satisfying an evaluation condition as an equalization image of an optimal criterion index, and finally obtaining an equalization result.The application can tolerate the interference of local noise and local bright spots in an image and has high robustness.The application can automatically seek an optimal equalization image.In addition to automatic optimization, the application can manually adjust whether the required interval is equalized according to requirements.Under the condition of prior knowledge, the application can obtain an expected result faster.The application is simple to reproduce, does not need to set any parameters, has low basic hardware requirements and does not need a large and complicated pre-training process.