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The leading formative models include water-stage variation, gravel-overpassing process, superimposition of bedload sheets and avalanching process (inverse grading).
An input/output interpretation of the resulting control structures illustrates the importance of alternative state space realizations of the process inverse for the controller implementation.
In sheet metal forming process, inverse analysis codes serve a useful purpose at the early product design stage when an approximate analysis is required to determine if the initial concept part can be made and where the failures and defects will occur.
We can obtain such topology from a graph framework by iterative replacement of vertices of degree two by a single edge i.e. the procedure of edge merging, a process inverse to edge subdivision.1 Such topologies are often referred to as Oprea scaffolds.
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The inverse process (inverse-MIEK), when a triple changes state from the octupole to the quadrupole regime, can also occur.
The first signal comes when the antineutrino converts the proton to a neutron plus a positron (an anti-electron), which quickly annihilates when it hits an ordinary electron – a process called inverse beta decay.
Secondly, the heterogeneous clutter is modeled as a two-dimensional wide-sense stationary (WSS) process with inverse complex Wishart distributed random covariance matrices in the time-space and frequency domain.
The models can be considered as process and inverse process of coagulation.
It can be seen from the above derivation process of inverse kinematics.
In the previous researches, ANNs were applied to develop process and inverse process models for coagulation to assist operators to determine coagulant dosage and to optimize the process.
Griffiths and Andrews (2011a) developed both process and inverse process seasonal ANN models to predict settled water turbidity and optimal alum dosage at Elgin Area WTP, Canada.
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