Risk map for communication networks
US-2024422072-A1 · Dec 19, 2024 · US
US2016055125A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016055125-A1 |
| Application number | US-201514752268-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 26, 2015 |
| Priority date | Jun 27, 2014 |
| Publication date | Feb 25, 2016 |
| Grant date | — |
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Systems and methods for determining the sensitivity of a model to a factor are disclosed. A directional variogram corresponding to a response surface of the model is determined. The variogram is then output as an indication of the sensitivity of the model.
Opening claim text (preview).
1 . A system for analyzing sensitivity of a model, comprising: a computer processer; an input in communication with the computer processor; non-transitory memory in communication with the processor, the non-transitory memory storing computer executable instructions that when executed by a computer processor implement modules comprising: an input module configured to receive data comprising a plurality of values of a model output and, for each value of the model output, corresponding values of input factors resulting in the model output; a variogram construction module configured to construct a directional variogram based on the data received at the input module; an output module configured to output the directional variogram as a representation of the model sensitivity. 2 . The system of claim 1 , wherein the variogram construction module is further configured to construct a directional variogram for each input factor. 3 . The system of claim 1 , wherein the output module is configured to display the variogram. 4 . The system of claim 1 , wherein the modules further comprise: a model module configured to model a process. 5 . The system of claim 4 , wherein the modules further comprise: a sampling module configured to generate a plurality of sample points for modeling the process. 6 . The system of claim 4 , wherein the model is configured to model an environmental system. 7 . A method for analyzing the sensitivity of a model, comprising: receiving, by a computer, a plurality of sets of input factor values and for each set, a corresponding model output value; constructing, by a computer, a plurality of directional variograms based on the sets of input factor values and model output values; outputting the plurality of directional variograms as an indication of model sensitivity. 8 . The method of claim 7 , wherein the plurality of directional variograms comprises a variogram for each input factor in the sets of input factor values. 9 . The method of claim 8 , wherein outputting the plurality of directional variograms comprises displaying each of the variograms on a common graph. 10 . The method of claim 7 , further comprising: generating a plurality of sample points to use as input factor values. 11 . The method of claim 7 , further comprising: providing, by a computer, the plurality of sets of input factor values to a model and for each set of input factor values, recording an output value of the model. 12 . The method of claim 7 , wherein the model is an environmental model. 13 . The method of claim 7 , further comprising: normalizing the plurality of variograms. 14 . The method of claim 13 , wherein normalizing the plurality of variograms comprises integrating each variogram from zero to a maximum value of an input factor. 15 . The method of claim 14 , wherein outputting the plurality of variograms comprises outputting a plurality of values for each variogram. 16 . The method of claim 15 , wherein the plurality of values comprises a value at ten percent of the factor range and fifty percent of the factor range. 17 . A method for analyzing the sensitivity of a process, comprising: receiving, by a computer, a plurality of sets of input factor values and for each set, a corresponding process output value; constructing, by a computer, a plurality of directional variograms based on the sets of input factor values and process output values; outputting the plurality of directional variograms as an indication of process sensitivity. 18 . The method of claim 17 , wherein the plurality of directional variograms comprises a variogram for each input factor in the sets of input factor values. 19 . The method of claim 17 , further comprising: generating a plurality of sample points to use as input factor values. 20 . The method of claim 17 , further comprising: providing, by a computer, the plurality of sets of input factor values to a process and for each set of input factor values, recording an output value of the process.
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