Query and retrieval on the probability density functions, which may be modeled by adaptive-piecewise-linear approximations, have been developed (Ljosa and Singh, 2007).
In our experiments [65], we tested directly whether the behaviour can be modelled by adaptive optimal control principles.
Moreover, the recovery of extraction was modeled by adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN).
In the present study, compressive strength of different types of geopolymers has been modeled by adaptive neuro-fuzzy interfacial systems (ANFIS).
In this study, illumination distribution of white color HP-LED is modeled by adaptive neuro-fuzzy inference system (ANFIS) approach on the isolated area while LED head is fixed.
Thus, the nonlinear mapping between the discrete-time loudspeaker signal x k−L) and the estimate of the nonlinear loudspeaker signal (hat {x}_{text {NL}} (k - L)) can be modeled by an adaptive time-domain HGM with branch kernels (hat {h}_{b} (k)) with a very small temporal support of L SA taps (e.g., L SA=3).
The extraction uncertainty of an individual ASC is modeled by an adaptive Gaussian distribution according to its attributes.
The modeling of turbulence follows a methodology known as large eddy simulation (LES) in which the large scales of turbulence are resolved by current discretization, while the small ones are modeled by means of adaptive procedures in time and space.
Mental processes can also be modelled by temporal causal networks in an adaptive manner.
In this study, the discharge coefficient of sharp-crested weirs located on circular channels is modeled by the self-adaptive optimization of extreme learning algorithm using the differential evolutionary algorithm (SaDE-ELM).
In this paper, texture properties are modeled by means of an adaptive fuzzy approach that takes into account the subjectivity of the human perception.
