The success of FragBag opens up many interesting avenues, where advanced language modeling techniques proposed in Information Retrieval (IR)/Statistical Natural Language Processing NLPP) can be adopted for representing protein structures.
The proposed modeling techniques are proposed in "Artificial neural network" section.
In order to design the controller of nonlinear electrohydraulic system, several modeling techniques are proposed: the transfer function of the electrohydraulic system is identified using first-principle method, and the intelligent models are built by fuzzy modeling and neural networks.
In order to take the best of both modeling techniques, we propose an equivalent circuit model which keeps a straight correlation between its parameters and the battery electrochemical principles.
Molecular modelling techniques have enabled us to propose an unconventional binding mode to GSK-3β.
To loosen the restriction imposed by the observer matching condition, the UIO design method combined with the unknown input modeling technique is proposed to design an FDO that decouples the effect of mismatched unknown inputs.
Instead of using such modeling techniques, this paper proposes a new approach for QoS performance management and resource provisioning by using an off-line identification of Hammerstein and Wiener nonlinear block structural model.
Results show that cost reductions can be obtained when applying the model-based optimization techniques proposed, and hint new opportunites for AOPs enhancement.
"The proposed model" section introduces the various softcomputing modeling techniques and presents the proposed SKECM model.
The main contributions of the proposed technique are A new background modeling technique has been proposed using decoded frames for coding gain.
