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The result illustrates that the model can tackle complicated natural gas transmission network optimization problems.
This model can tackle the common problem encountered by conventional fuzzy back propagation neural network in the determination of the network structure in the number of hidden layers and the number of hidden neurons in each layer.
The ICMILP model can tackle uncertainties presented as intervals and probabilities, facilitate long-term capacity planning, and formulate policies regarding waste generation, collection, transportation and treatment.
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Class-based language modeling can tackle the sparseness of data in the corpus.
Some models can tackle the problems related to chemical and biological processes through deterministic partial differential equations (Igwe et al. 2008; Shah et al. 2009).
This paper aims to manifest the advantages of SRACLS and SVR over PLSR model, where SRACLS can tackle future changes without the need for tedious recalibration, while SVR is a more robust and general model, with high ability to model nonlinearity in spectral response, though like PLSR is needing recalibration.
It is envisioned that the developed coarse-grained model can help tackle the scale-bridging issue from nanoscale to mesoscale.
The ISMISIP model can simultaneously tackle a waste management problem with coefficients expressed as probability distribution functions (capacities of the landfill, WTE and composting facilities), intervals and functional intervals, without requiring more complicated intermediate models.
But one of the benefits of the trust school model is that it can tackle this problem.
The Quintuple Helix is a model of innovation that can tackle existing challenges of global warming through the application of knowledge and know-how as it focuses on the social (societal) exchange and transfer of knowledge inside the subsystems of a specific state or nation-state (see Barth [2011a], pp. 5 7).
The novelty of the present model lies in that it can tackle problems where the void volume fraction is variable and unknown.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com