Sentence examples for based on stochastic processes from inspiring English sources

In such an approach, unlike the classical one based on stochastic processes, statistical functions and probability concepts are defined starting from a single observed time series instead of an ensemble of realizations of a stochastic process.

Global optimization algorithms are based on stochastic processes and are considered to be more effective in finding optimal solutions of nonsmooth, nonconvex or multimodal problems.

Particle swarm optimization can be seen as a search algorithm based on stochastic processes [24], where the learning of social behavior allows each possible solution (particle) 'fly' onto that space (swarm) looking for other particles that have the best features and thus minimizing or maximizing the objective function.

We note that regression and correlation models based on stochastic processes driven by non-Gaussian stable perturbations have been implemented successfully in non-phylogenetic fields [i.e., [ 82- 84]].

The response surface method based on stochastic process is used, that is especially good at modeling the non-linear, multi-modal functions that often bring about in engineering.

In order to capture the proposed PSS cost nature as an emergent attribute and derive useful managerial insights, a cost-engineering method based on Stochastic Process modelling, has been devised.

We present the SIG method based on stochastic process model, to examine genome-wide expression profiles from cancer samples at two stages correlated with progression from stage 1 (early stage) to stage 2 (late stage).

We here present a new model, FORSAT, dedicated to the forest savanna mosaic on a landscape scale and based on stochastic modelling of key processes (fire and succession cycle) and consistent with common field data.

On the other hand, models based on stochastic geometry and spatial point processes provide a tractable and computationally efficient alternative for performance evaluation of HetNets [1 4].

The majority of the network models found in the literature are either variations of the Wyner model, making up an idealized, regular structure, or are based on stochastic geometry, such as Poisson point processes (PPPs) [17].

A system model based on stochastic geometry (utilizing the spatial Poisson point process (PPP) theory) is applied to model the random locations and network topology of both secondary and primary users.