Sentence examples for multiple outputs with from inspiring English sources

In this context, the Bayesian neural networks are extended to multiple outputs with a full covariance matrix to describe the correlation between the noise of output parameters.

Here, as a means of enabling the control of multiple outputs with a few inputs, we introduce a biological intracellular multilayered circuit that emulates an electrical decoder.

An advantage of the miRNA system is the specificity of RNAi, which should facilitate the simultaneous regulation of multiple outputs with different miRNAs.

As demonstrated in the current study, DEA is a useful tool/approach for analysing the efficiency of complex DMUs (e.g. hospitals, health centres) that employ multiple inputs to produce multiple outputs, with a view to generating the evidence mentioned above.

We concentrate on the linear spatially distributed time-invariant two-dimensional systems with multiple inputs and multiple outputs and with control action based on an array of sensors and actuators connected to the system.

Our extensions support software design processes by providing a sketch-based approach that allows the iterative creation of multiple outputs interacting with one another from the inter-linked models.

The structure allows the implementation of different experiments, such as SISO (single-input single-output), TITO (two-input two-output) and MIMO (multiple-input multiple-output), with the option of coupling or cascade effect between tanks.

In paper [2], the authors investigated the information security of MIMO links (multiple-input and multiple-output) with a proposed theoretic framework; space-time communication was provided for improve the security of digital data transmission.

DEA is essentially a deterministic multi-objective optimization method (thus, dealing with multiple output variables) with the aim to identify actors (DMUs) with the highest productivity (or efficiency).

Finally, an extension is proposed to deal with multiple outputs.

This article studies simulation-based optimization with multiple outputs.