Science topics: GeophysicsInverse Modeling
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Inverse Modeling - Science topic
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Questions related to Inverse Modeling
What is the possible ways to add metal oxide on metal slab ( like Fe/PT etc.) in Materials studio? (Or any other software)
I know there is some model called cluster model , slab model and inverse model in DENSITY FUNCTIONAL THEORY APPROACH. Can some one please help me , how to add metal oxide on metal by these 3 methods? Or is there any other model by which I can model Metal oxide on Metals ?
Which method is better for determining emission source?
1. Back-trajectory method
2. Inverse modeling method
I am just wondering whether the procedure of calibrating the parameters of the model by comparing the output from the model and the measurements is nothing but a type of inverse modelling.
Are these two approaches different, if yes then how? Please explain.
Whether the model parameters such as property or geometry could be tuned to obtain desired frequency response by performing harmonic analysis coupled with direct optimization module of ANSYS workbench?
Please recommend
1.Books
2.Tutorial
3.Links
which explains optimization using the least square method with MATLAB code
Generally, for time-series InSAR analysis, we assume the deformation is linear, if it isn't, especially when using different SAR data over different period. How we can find the problem? Any suggestion for continuously observing an area using available different SAR data?
For one of my study area, the deformation rate was 30 mm/year in 2003-2010, and 150 mm/year in 2017-2018. Since the linear inversion was used, can we guess that approximately 50 cm land uplift was occurred during 2003-2018?
Hi all,
hope you are doing well.
Can one shortly explain what are the main ideas of inverse simulation and model inversion, in control theory.
And maybe suggest a good book for inverse simulation, with applications in engineering or/and visual computing.
Thanks in advance,
I am performing inverse modelling using Phreeqc windows version. If I write any new equation as phases or exchange species it is giving error like
ERROR: Elements in species have not been tabulated, CaF2.
ERROR: Reaction for species has not been defined, CaF2.
I need help.
Artificial intelligent using neural network, fuzzy can be used for control, inverse model , prediction and modeling.
I want the intuition behind the basic difference between direct inverse modelling of a plant and specialized inverse modelling whose functional diagram is almost the same as the former except a forward model block is included to provide error to the inverse model block.
For interpreting Schlumberger VES data in Res 1d software of Geotomo, it is first necessary to read the data file. But i find it difficult to feed the VES data in note pad format. Can anybody explain, how to feed the VES data for interpretation- forward & inverse modeling?.
I have a control system in feedforward architecture. I have chosen this structure for tracking purposes. I have put the feedforward path as the inverse of the system since it is a minimum phase strictly proper without any zero (4th order). Now I want to design a fuzzy system and put it instead of the inverse of my system in the feedforward path in such that it is the output of the system. I.e. one way is to use adaptive fuzzy method such that the parameters of the the inverse model converges to parameters of the system. For this method I should suggest lyapunov function to gain adaptive law.
I don’t know how to do this method and where I should start. I have used this technique for designing a fuzzy controller for nonlinear affine systems and I don’t know what to do with this linear system (transfer function) since the inverse is not actually a controller!
Apart from all the ground disturbances especially power lines, cables, stretch, which method could be best suitable for estimating the subsurface?
I wanna to establish a inverse modelling to get a equalizer to combat the multipath channel. However, I found a problem that the training of LMS algorithm is very unstable under the Rayleigh multipath channel generated randomly.
So far, I found that in some coefficients of Rayleigh multipath the training seem to be stable, but in some coefficients of Rayleigh multipath the training is bad.
I think that the step size of LMS algorithm is a critical point, but I can't find some references to give an accurate value of the step size. Normally, they only give a range of the value which I have followed.
Does anyone know the problem?
Does My model perhaps is incorrect?
Many thanks
Jiajun
A single valued parameter results in a single model signal in direct modeling. In an inverse application, an observed signal, however, could be more-less reproduced with thousands of different parameter sets. This non-uniqueness is an inherent property of inverse modeling (IM). IM is concerned with the problem of making inferences about physical systems from measured output variables of the model (e.g., river discharge, sediment concentration). -Abbaspour, 2007-
How prestack migration affect the true amplitude of CMP gather?