Sentence examples for experimental decision from inspiring English sources

This chapter explores, designs, develops, and implements fuzzy neural network models for organizing and learning experimental data and knowledge that can be fruitful in producing fuzzy neural experimental decision support systems for various domains.

Unlike other computerised method development systems, LabExpert operates in real-time, using an artificial intelligence system and design engine to provide experimental decision outcomes relevant to the optimisation of complex separations as well as the control of the instrumentation, column selection, mobile phase choice and other experimental parameters.

This study set out to extend the tradition of experimental decision-making research into the field of design.

[Editors' note: the author responses to the first round of peer review follow.] In the revised version we have incorporated the reviewers' suggestions, and done a better job in justifying the various experimental decisions that were made during this study.

To report the dependency between these experimental variables, decision aspect prioritization technique as proposed in [9] and requirement prioritization process as proposed in [5] were employed on the experimental unit.

The literature on experimental committee decision making is also related to our paper, and some of that literature discusses the role of fairness concerns (e.g. Eavey and Miller, 1984).

This was not true for self-ratings, which showed good levels of validity for Dutch, but not for Korean participants in the present study, and were poor predictors of experimental lexical decision and word identification data from previous studies.

Different performance scenarios were performed and based on experimental results, decisions for reengineering of the pilot plant could be taken to improve commercial storage plants.

Additional file 4: Table S1 provides a summary of our iterative experimental planning decisions.

Finally, other biological factors also will shape experimental design decisions by imposing logistical constraints.

Our study informs important experimental design decisions now relevant when trying to maximise an RNA-Seq study to reliably detect DE.