46 results about "Multiple regression equation" patented technology

A method is disclosed for evaluating logs to predict structural properties and / or warp tendency of lumber or veneer that might be produced from a given log. The method can be used in a forest stand, sorting yard or merchandiser, on-line in a sawmill, or at other locations along the route from forest to mill. It enables decisions whether a log should be directed to a sawmill for lumber manufacture or for other applications such as timbers, veneer, or pulp chips. Log taper has been found to correlate with both stiffness and warp propensity of lumber cut from a given log. A high amount of taper leads to warped lumber and low stiffness lumber or veneer. The correlation with taper is highest if it is measured over the full stem length of the harvested log, before it is bucked to sawmill size or veneer blocks. Other geometric features of the log, such as sweep or cross section irregularity, can be combined with taper in a multivariate regression equation to increase accuracy of prediction. This can readily be accomplished in a conventional scanner used in a sort yard or sawmill.

The invention discloses a determination method of a total heat transfer coefficient of a condenser of a thermal generator set. The method is as follows: generator set load, circulating water flow, circulating water inlet temperature, the practical total heat transfer coefficient of the condenser, the total theoretical heat transfer coefficient of the condenser are input into a preset multiple regression equation under multiple test working conditions; and the coefficient of the equation is determined and the condenser heat transfer integrated revision factor of the condenser is obtained, so that the deviation influences among the structural characteristics, the operating condition and the theoretical value of the condenser are revised. In the determination method provided by the invention, the modifying factor is used so as to modify the total theoretical heat transfer coefficient which is calculated by a traditional empirical equation, of the condenser, and the total heat transfer coefficient with small error, of the condenser can be obtained, thereby improving the accuracy of energy-saving diagnosis and optimization management of the cold end system of the generator set.

The invention relates to a preparation method capable of optimizing fermented vegetable juice through response surface methodology. The method comprises the following steps: 1, preparing vegetables, namely washing celery and lotus cabbages, cutting the vegetables into segments, and putting the vegetables into a tank according to an equal mass ratio; 2, preparing noodle soup, namely respectively preparing flour and water into the noodle soup according to different horizontal gradients; 3, respectively adding the noodle soup and mixed bacteria into the tank filled with the vegetables for fermenting according to different horizontal gradients, thus obtaining the fermented vegetable juice which corresponds to different inoculation amounts and different ratios of flour to water and vegetables to noodle soup; 4, performing experimental design and statistical analysis, namely (1) performing a single factor experiment, and (2) performing response surface methodology design, namely establishing a quadric multiple regression equation based on three factors including the inoculation amounts, the ratio of flour to water and the ratio of vegetables to noodle soup according to the result of the single factor experiment; and 5, analyzing the experimental result and optimizing, namely performing drawing analysis by Design Expert 8.0 software, thus obtaining a response surface of the regression equation, a contour map of the response surface and the like. The method is simple in operation and suitable for industrial production.

The invention provides a meteorological frontal surface automatic identification method based on multiple regression. The method comprises: determining a constant temperature zone; removing the constant temperature zone; after a constant temperature zone is removed from the meteorological element data set, calculating each diagnosis quantity, and generating a training sample set; by utilizing a multiple regression neural network (MRNN) model and the training sample set, training a multiple regression equation coefficient (the weight of each diagnosis quantity during frontal surface recognition); and substituting the meteorological element data set and the multiple regression model coefficient obtained by training into a multiple regression model, and automatically identifying the atmospheric frontal surface probability of each grid point on line.

A method for calculating adolescents' oxygen intake and exercise intensity in daily activities by the load heart rate belongs to the field of health assessment. The oxygen intake is considered to be associated with a variety of disease risks, so the oxygen intake is critical. Direct measurement of the oxygen intake requires very precise instruments which usually only exist in experimental researchand can not be applied in the field of public physical training. The method uses the oxygen intake collected by a gas metabolic analyzer as the 'gold standard' and establishes a multiple regression equation with other variables such as sex and age. The result of backdating verification shows that the method has high reliability and can easily and effectively predict the oxygen intake of adolescents in daily physical activities. In addition, through the accurate measurement value of gas metabolism as a benchmark, an ROC curve analysis method is adopted, the load heart rate intervals corresponding to different intensity ranges are obtained, and the intensity of exercise is judged through the load heart rate.

A management server 10 stores past record data regarding the call volume by collecting from an exchanger, classifies the past record data in accordance with segments: a 7-day period in a month starting from the beginning of a month; a day of the week; and a predetermined period of time in a day, for a predetermined term in the past, obtains a multiple regression equation having the call volume as an objective variable, based upon the past record data thus classified, by performing a multivariate analysis for each day of the week, and calculates the call volume in a term that is specified by a user based upon the multiple regression equation.

The invention discloses an indirect undergraduate cardiorespiratory-endurance detecting and evaluating method based on progressively increased squat and rise movements. The indirect undergraduate cardiorespiratory-endurance detecting and evaluating method comprises the steps that 1, the height and weight of a subject are measured; 2, the subject carries out squat and rise movements with progressively increased burden, the time for each level is represented by T, n squat and rise movements are needed for the first level, then the times of the squat and rise movements for each following level isincreased by m compared with the times of the previous level; 3, the total squat and rise movement times are calculated, and meanwhile the maximum oxygen uptake amount of the subject is measured by utilizing a cardio-pulmonary function remote-sensing instrument; a multielement regression equation is established by utilizing the total squat and rise movement times, the height of the subject, the weight of the subject and the maximum oxygen uptake amount; a least square method is utilized to calculate a regression coefficient of the multielement regression equation; 4, according to the height,weight and total squat and rise movement time of the subject, the multielement regression equation is input, and the maximum oxygen uptake amount of the subject is calculated and serves as a cardiorespiratory-endurance testing result of the subject.

The invention discloses a determination method of a total heat transfer coefficient of a condenser of a thermal generator set. The method is as follows: generator set load, circulating water flow, circulating water inlet temperature, the practical total heat transfer coefficient of the condenser, the total theoretical heat transfer coefficient of the condenser are input into a preset multiple regression equation under multiple test working conditions; and the coefficient of the equation is determined and the condenser heat transfer integrated revision factor of the condenser is obtained, so that the deviation influences among the structural characteristics, the operating condition and the theoretical value of the condenser are revised. In the determination method provided by the invention, the modifying factor is used so as to modify the total theoretical heat transfer coefficient which is calculated by a traditional empirical equation, of the condenser, and the total heat transfer coefficient with small error, of the condenser can be obtained, thereby improving the accuracy of energy-saving diagnosis and optimization management of the cold end system of the generator set.

The invention discloses a method for reconstructing a logging curve, and relates to the technical field of exploration and development of petroleum and natural gas. The method comprises the steps of collecting general logging materials of a well adjacent to a target well; selecting a standard layer of a target curve; building a multi-regression model including linearity, index, logarithm and power function; acquiring a corresponding multi-regression equation; calculating the correlation between the target curve of the standard layer and other curves; selecting a base curve for reconstructing the target curve; selecting the optimal multi-regression model based on the selected base curve and according to the maximum correlation principle; deducing the corresponding multi-regression equation; substituting the regression constants, coefficients and the base curve value into the multi-regression equation at the well section suffering from deletion or distortion of the target curve, so as to finish the reconstruction of the target curve. According to the method, the logging curve can be quickly and accurately reconstructed; the operation is simple and convenient; the popularization is easily carried out; the field construction applies, and geological personnel can quick evaluate the stratum information.

The invention provides a method for predicting noise of aero-engines on the basis of multi-regression. The method includes acquiring time-domain signals of the internal noise of the aero-engines and working state parameter matrixes of the aero-engines; preprocessing the time-domain signals of the internal noise of the aero-engines to obtain 1 / 3 octave spectra and total sound pressure levels of the internal noise of the aero-engines; establishing multi-regression equations of sounds pressure levels of the internal noise of the aero-engines by the aid of least square processes according to the 1 / 3 octave spectra of the internal noise of the aero-engines and the working state parameter matrixes of the aero-engines; collecting working state parameters of the aero-engines in real time; inputting the corresponding working state parameters of the aero-engines in certain working states into the multi-regression equations of the sound pressure levels of the internal noise of the aero-engines to obtain linear analysis 1 / 3 octave spectra and total sound pressure levels of the internal noise of the aero-engines. The linear analysis 1 / 3 octave spectra and total sound pressure levels of the internal noise of the aero-engines correspond to the working states. The method has the advantages that residual errors are controlled, and accordingly the accuracy of load forecast results can be guaranteed.