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44 results about "Variable features" patented technology

"Feature" and "independent variable" are different terms for the same thing. "Feature" is more common in machine learning, whereas "independent variable" is more common in statistics. So yes, in this case, TV is both a feature and an independent variable.

Data analysis and predictive systems and related methodologies

A method of optimising a model Mx suitable for use in data analysis and determining a prognostic outcome specific to a particular subject (input vector x), the subject comprising a number of variable features in relation to a scenario of interest for which there is a global dataset D of samples also having the same features relating to the scenario, and for which the outcome is known is disclosed. In one implementation, the method includes: (a) determining what number and a subset Vx of variable features will be used in assessing the outcome for the input vector x; (b) determining what number Kx of samples from within the global data set D will form a neighbourhood about x; (c) selecting suitable Kx samples from the global data set which have the variable features that most closely accord to the variable features of the particular subject x to form the neighbourhood Dx; (d) ranking the Vx variable features within the neighbourhood Dx in order of importance to the outcome of vector x and obtaining a weight vector Wx for all variable features Vx; (e) creating a prognostic model Mx, having a set of model parameters Px and the other parameters from (a)-(d); (f) testing the accuracy of the model Mx at e) for each sample from Dx; (g) storing both the accuracy from (f), and the model parameters developed in (a) to (e); (h) repeating (a) and/or (b) whilst applying an optimisation procedure to optimise Vx and/or Kx, to determine their optimal values, before repeating (c)-(h) until maximum accuracy at (f) is achieved.
Owner:KASABOV NIKOLA KIRILOV

Multi-index extensible evaluation method for dangerous rock falling risks in tunnel and underground engineering

The invention discloses a multi-index extensible evaluation method for dangerous rock falling ricks in tunnel and underground engineering. The method comprises the following steps of: 1, establishing a dangerous rock falling risk evaluation index system according to main factors inducing side slope dangerous rock mass collapse; 2, establishing a grading standard for dangerous rock falling risk evaluation and determining a dangerous rock falling risk evaluation grade; 3, quantifying or correcting an evaluation index parameter, namely, normalizing and scalarizing a qualitative index, and describing the qualitative index to a certain extent by using a numerical value form; 4, establishing a classical domain, a joint domain, a to-be-evaluated matter element and an extensible model of a to-be-evaluated dangerous rock matter element; 5, collecting to-be-evaluated dangerous rock data, determining a weight of each risk evaluation index by adoption of a single correlation function method, and calculating a correlation function value of the to-be-evaluated dangerous rock matter element; and 6, evaluating the dangerous rock falling risk, and calculating a grade variable feature value of the to-be-evaluated matter element so as to obtain a collapse rock falling risk grade of a to-be-evaluated dangerous rock at a portal section of a tunnel.
Owner:SHANDONG UNIV

A variable feature extraction method for NOx prediction model of thermal power plant based on contrast method

The invention discloses a variable characteristic extraction method for NOx prediction model of thermal power plant based on a comparison method, comprising the following steps: S1) collecting designdata of a target boiler, analyzing the combustion process of pulverized coal according to the actual operation environment, and finding out the main factors influencing NOx emission; S2) the data processed by S1 is screened based on mutual information, and the S-MIFS algorithm is used to select the input variables which have great influence on NOx concentration; S3) performing principal componentanalysis on the data obtained from S2 to select a component whose cumulative contribution reaches 95%; S4) dividing the result obtained by S3 into two groups, one group is sent to the neural network for training, and the other group is sent to the neural network for testing; S5) calculating the root mean square error between the output value of the neural network and the original test value; compared with the prior art, the invention can be used for extracting the input variable characteristics of the NOx prediction model of the thermal power plant, and can reduce the dimension of the input variable under the premise of slightly reducing the accuracy, and reduce the calculation time consumption.
Owner:国家电投集团河南电力有限公司 +2

Paper currency authentication method based on light color light change anti-counterfeiting characteristics

The invention discloses a banknote authenticating method based on the anti-counterfeiting feature of light change, which includes: when it is detected that the banknote enters the banknote inlet provided in the horizontal direction, the white light source arranged above the banknote passing channel is triggered to light up, and irradiates the banknote. For banknotes to be detected, the first image of the banknotes to be detected is collected by the color sensor arranged directly above the banknote passing channel; the cam mechanism arranged below the banknote passing channel is triggered to rotate until the convex part is on the upper side so that the banknotes to be detected are tilted, Using the color sensor to collect a second image of the banknote to be detected; comparing the luster and light change characteristic areas in the first image and the second image to determine whether it has the luster and light change characteristic. The method is easy to implement, low in implementation cost, fast and accurate in detection, and thus can accurately detect counterfeit currency, especially for counterfeit identification of altered currency, the effect is more obvious. For the feature of luster and optical change, the present invention can perform accurate detection.
Owner:BEIJING NUFRONT SOFTWARE TECH
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