46results about How to "Easy to program and calculate" patented technology

The invention discloses a quantum-behaved particle swarm optimization (QPSO) recurrent predictor neural network (RPNN) method for financial time series prediction, which relates to analysis and prediction on a time sequence. Chaos and phase space reconstruction theories are firstly applied, through a saturation correlation dimension (G-P) method, a chaotic financial time series attractor dimension is calculated, and the structure of the RPNN is determined; then, the RPNN is trained by the QPSO algorithm; and finally, the dynamic optimal weight and the threshold of the network are determined, and thus, the simulation prediction value of the RPNN and the actual value can reach the minimum error precision. The problem that optimization of the RPNN based on a gradient algorithm is easy to fall into local minimum can be solved, and the built QPSO-RPNN optimization prediction method can be widely applied in financial investment and social economy, and has the advantages that the convergence rate is quick, the searching is global, the programming is simple and efficient, and the prediction precision is high.

The invention discloses a combined loaded pile bearing capacity transfer matrix general solution method. The method comprises the following steps that a combined loaded pile general solution stress analysis model is built, and a general expression convenient for finding pile-soil interaction relation during the general solution is provided; according to the one-dimensional linear characteristics of a transfer matrix, discretization, uniformization and constant processing are conducted on the soil resistance coefficient, the distribution of axial force of a pile and horizontal load distribution of the pile; analytical general solutions of the transfer matrix coefficient of a free section of the pile, the transfer matrix coefficient of a flexible section of the pile and the transfer matrix coefficient of a plasticity section of the pile are obtained by means of the Laplace direct-inverse transform derivation; based on the principle of the transfer matrix method, boundary conditions of the pile top and the pile end are substituted, and accordingly the combined loaded pile bearing capacity general solution is obtained. In the method, the analytical expression of the transfer matrix coefficients is very simple, programming calculation is convenient, the method is very good in adaptability and universality, and the problem of combined loaded pile bearing characteristics under various working conditions in the geotechnical engineering can be well solved.

The invention provides a high-precision method for computing infrared radiation and reflection radiation heat flows on the surface of a lunar orbit spacecraft. The method disclosed by the invention is based on integral computation formulas for the infrared radiation heat flows and the reflection radiation heat flows caused by the lunar surface to the surface of the lunar orbit spacecraft and is characterized in that lunar surface infinitesimal elements are divided through a uniform simulation method, discretization is carried out to the integral computation formulas, and accumulation of radiation heat exchange among infinitesimal element faces is converted; and according to energy balance of infrared heat flows and absorbed solar heat flows of each infinitesimal area of a lunar sunlight face, a computation method of lunar infinitesimal element face infrared radiation intensity is obtained. Through coordinate conversion and vector expression, computation of the infrared radiation heat flows and the reflection radiation heat flows caused by the lunar surface to the surface of the lunar orbit spacecraft is finally converted to vector (matrix) computation, so that programming computation becomes convenient. Meanwhile, the method is extensively universal and has the advantages that star infrared radiation heat flows and reflection radiation heat flows based on any star, any orbit and a spacecraft with any geometric shape can be computed.

The invention discloses a tunnel geological karst risk evaluation method based on fuzzy judgment. Karst cave water burst evaluation standard and risk rating are quantified. The method mainly comprises the following steps: (1) carrying out tunnel geological survey to obtain formation lithology information of a tunnel and surrounding rock nearby the tunnel; (2) if lithology is soluble rock types comprising limestone, dolomites, gypsum salts or soluble conglomerate rock or is positioned nearby an insoluble rock contact zones and the water level is lower than underground water level and is higher than karst development lower limit, then evaluating the tunnel geological karst risk as high risk; (3) acquiring hydrogeological information of the tunnel and the surrounding rock nearby the tunnel, establishing an index hierarchy table, and calculating a risk grade value according to the index hierarchy table and fuzzy mathematics; and (4) determining the karst cave water burst grade according to the risk grade value. The karst cave water burst evaluation standard and the risk rating are quantified, and are visible; and the degree of the influence factor can be clearly judged according to scores.

The invention provides a method and equipment for solving bivariate error-containing straight line fitting problem. The method comprises the following steps: establishing a function model and a randommodel of indirect adjustment; initializing X0 and solving a parameter correction amount; updating the parameter estimation value and carrying out iterative solution until convergence; and performingprecision assessment. By means of the scheme, the problem of optimal estimation of the linear slope and the intercept under the condition that bivariates contain errors is solved, and precision evaluation is completed. According to the method, a complex model and an iteration format of a weighted overall least squares (WTLS) method are avoided, the model is clear, the mathematical form is simple,and programming calculation is easy.

The invention discloses the crack identification method and system of tight sandstone formation. The method comprises the following steps of based on deep induction logging data and medium induction logging data, acquiring a deep induction response value and a medium induction response value and acquiring a deep induction response average value and a medium induction response average value; basedon the deep induction response value, the medium induction response value, the deep induction response average value and the medium induction response average value, acquiring a first regression coefficient; based on the first regression coefficient, the deep induction response average value and the medium induction response average value, acquiring a second regression coefficient; based on the deep induction response value, the medium induction response value, the deep induction response average value, the first regression coefficient and the second regression coefficient, acquiring a doubleinduction difference coefficient; and setting a threshold, comparing the threshold and the double induction difference coefficient and identifying a crack. In the invention, through calculating the double induction difference coefficient and comparing with the threshold, a high angle crack in tight sandstone can be effectively identified, and the identification is not affected by changes in formation lithology, a physical property, oiliness and the like.

The invention discloses a method for evaluating the cleaning condition of a secondary water supply tank. The method comprises the following steps: step 1, calculating a sample attenuation coefficientin an evaluation analysis time range and a water temperature corresponding to the sample attenuation coefficient; 2, calculating a theoretical attenuation coefficient and a risk attenuation coefficient corresponding to the sample attenuation coefficient, wherein the theoretical attenuation coefficient is obtained by calculating a regression equation of the clean attenuation coefficient along withthe change of the water temperature and the initial residual chlorine concentration, which is obtained by using a regression analysis method; and 3, pairing and comparing the sample attenuation coefficients with the corresponding risk attenuation coefficients, and if the mean value of the sample attenuation coefficients is significantly greater than the mean value of the corresponding risk attenuation coefficients, judging that the cleaning condition of the water tank is significantly worsened. The technical problem to be solved by the invention is how to conveniently and timely evaluate the cleaning condition of the water tank so as to ensure that qualified tap water is provided for users.

The invention discloses a method for calculating curved surface stress distributed in fluid based on numerical simulation. In a calculating model, virtual faces and grid interfaces both have grid elements such as coordinates, sizes and pressure differences and both have the same mathematical and physical significance. The difference between the virtual faces and the grid interfaces relies on whether the face is generalized into a curved face or not. When iterative solution is conducted on the whole model, the grid interfaces not generalized into curved faces allow water flow to pass through, and the virtual faces generalized into curved faces do not allow water flow to pass through. That is, in model calculating, the virtual faces are curved surfaces. Thus, the stress of the curved faces can be obtained after obtaining the stress of the virtual faces. The stress distribution of the curved faces in a mathematical model can be accurately calculated and fine analyzed; in addition, for thecharacteristic that the curved face stress distribution calculation amount is large, a calculating logic conforms to a computer programming logic, and programming calculating is easy.

The invention provides a method for solving surrounding rock stress and displacement of a shallow-buried tunnel of a cavern-containing stratum under the action of gravity. The method comprises the following steps: calculating a complex potential analytic function of surrounding rock stress and displacement of the shallow-buried tunnel under the action of gravity field stress release load; calculating additional surface force caused by the tunnel on the boundary of the cavity; calculating a surrounding rock stress and displacement complex potential analytic function of the cavity under the action of the additional surface force; calculating an additional surface force caused by the cavity on the tunnel boundary; calculating a surrounding rock stress and displacement complex potential analytic function of the tunnel under the action of the accessory surface force; repeatedly executing the processing process until a set stop condition is met; and superposing the complex potential analyticfunction obtained by previous iteration to obtain a final complex potential analytic function of the surrounding rock stress and displacement of the shallow-buried tunnel and a final calculation formula of the surrounding rock stress and displacement. According to the method, the mutual influence between the tunnel and the cavity can be considered; gravity field stress release in the tunnel excavation process can be considered, the solving efficiency is high, and the solving precision is good.

The invention discloses an acoustic coupling method of coupling acoustic fields. The method comprises setting a coupling interface impedance of two coupling acoustic fields, selecting a sound pressure function of each acoustic field, determining a Lagrange functional of each acoustic field according to a variational method, determining coupling energy of the two coupling acoustic fields, determining a coupling rigidity matrix of a coupling acoustic space coupling interface and a rigidity matrix corresponding to each acoustic field and a quality matrix corresponding to each acoustic matrix, performing combinations according to the rigidity matrixes of the two acoustic fields, the quality matrixes of the two acoustic fields and the coupling rigidity matrix, determining a coupling acoustic field characteristic equation, and obtaining coupling acoustic field acoustic forecast information. The acoustic coupling method has the advantages of rapid convergence of a forecast information and less resources needed by calculation.

The invention discloses a steady state calculating method of a ground fault of an undercurrent grounding electric power system. The steady state calculating method of a ground fault of an undercurrent grounding electric power system is characterized in that: when a ground fault occurs in the undercurrent grounding electric power system, each operation parameter has asymmetric components, and as the positive sequence and negative sequence impedance and the zero sequence impedance of part of elements are different, a node admittance equation set cannot be listed directly to calculate; and through the method, decomposition is carried out in the node admittance equation set according to the symmetrical component method, and the positive sequence, negative sequence and zero sequence components are respectively calculated, and then a equation set is formed to calculate, so that the steady state voltage of each node and the steady state current of each branch can be solved when the ground fault occurs in the undercurrent grounding electric power system. The steady state calculating method of a ground fault of an undercurrent grounding electric power system can provide quantified data support for analyzing the ground fault of the electric power system.

The invention aims to provide a transfer matrix calculation stability optimization method based on dimensionless analysis. The transfer matrix calculation stability optimization method comprises the following steps: substituting a fourteen-equation tubular beam model through a method of setting dimensionless parameters, and establishing a straight tube dimensionless model; expressing the fourteen-equation dimensionless model in the form of a matrix equation, then solving the matrix equation by utilizing a Laplace transformation method, and finally obtaining a frequency domain dimensionless transfer matrix model; introducing boundary conditions, external acting force and other definite solution conditions , calculating the pipeline dynamics problem, and drawing response curves of the torsional vibration velocity and the transverse vibration velocity ; obtaining the upper limit frequency and the maximum pipe length of stable calculation of the transfer matrix, carrying out segmentation processing on the pipeline exceeding the maximum pipe length, and eliminating the phenomenon of unstable calculation in a segmentation dimension expansion mode. According to the method, the optimization process does not cause great increase of the variable freedom degree number, and high calculation efficiency is ensured while the problem of unstable calculation is solved.

The invention aims to provide a method for forecasting the inherent frequency of a liquid-filled cylindrical shell. The method comprises the following steps: establishing a free vibration equation ofthe cylindrical shell by adopting a Kennard thin shell theory; solving a Helmholtz wave equation under a cylindrical coordinate system, fluid acts on a cylindrical shell as a radial load, and a hydrodynamic model of the cylindrical shell is established; selecting an improved state vector; obtaining the relationship between the element displacement, the rotation angle, the force and the like of thetraditional state vector and the middle surface displacement according to the Kennard thin shell theory, so as to establish a conversion matrix between the improved state vector and the traditional state vector; introducing boundary conditions at two ends of the liquid-filled cylindrical shell to forecast the inherent frequency of the liquid-filled cylindrical shell. According to the method, thederivation workload of the first-order derivative equation and the transfer matrix and the possibility of derivation errors are reduced, the application range is wide, the implementation process is simple and convenient, and programming calculation is facilitated. The prediction precision is high, the whole solving process does not cause increase of the variable freedom degree number, and high prediction efficiency is ensured.