The last section introduces statistical relational learning, illustrates some algorithms for distributed parameter
and structure learning, and combines two of those algorithms to create a learning probabilistic description logic (LEAP) for structure learning.
In the simplified equivalent circuit modeling [7-9], the impedance of the human body is calculated based on lump parameter rather than distributed parameter
, and this kind of equivalence is not proper for high-frequency IBC because of the wave effect at frequencies higher than about 10MHz [12-14].
Temperature is a distributed parameter
. Theoretical models of such objects usually give transfer functions of the form aperiodic link with delay.
Make use of [G.sub.f], [G.sub.bin], [p.sub.3], and [T.sub.3], the distributed parameter
model of combustor outputs [p.sub.4] and [T.sub.4], which are processed with average method at the output boundary of combustor.
Haber, "A multigrid method for distributed parameter
estimation problems," Electronic Transactions on Numerical Analysis, vol.
Ahmed, "Distributed Parameter
Systems", in Encyclopedia of Physical Science and Technology (Third Edition), Academic PRESS, pp.
Additionally, if our distributed parameter
estimation procedure is equipped with localization technologies [35-38], it can be utilized in more mobile situations.
The systems are called distributed parameter
systems (DPSs), which are mathematically modelled by partial differential equations (PDEs) with boundary conditions.
Recently, iterative learning control problem of distributed parameter
systems described by partial differential equations has become a hot research.
Due to their simplicity, LPMs are particularly useful for the interpretation of data when it is neither possible nor justified to use distributed parameter
Qi, "Modeling of distributed parameter
systems for applications--a synthesized review from time-space separation," Journal of Process Control, vol.
Such models range from lumped parameter models [6, 7] to Rayleigh-Ritz type approximate distributed parameter
models [7-9] as well as analytical distributed parameter
solution attempts [10, 11].