Sentence examples for between the input variable from inspiring English sources
The sigmoid function is defined as any function that is bounded and has a direct relation between the input variable and the output variable (Smith 1993).
With problems of this type, it is important to understand the relationships between the input variables (whose values are often imprecisely known) and the output.
Furthermore, the generalization capacity along with the sensitivity analysis allowed the identification of high-weight variables in the model, as well as the partial interpretation of the statistical functional relationships between the input variables and the abundance.
The objective of the present study is finding the relationships between the input variables and the process responses as well as making the predictive model used in the design of TiC coating on Ti substrate.
The paper presents a probabilistic methodology considering the correlations between the input variables for the failure probability evaluation of corroding pipelines based on the corrosion module of the FITNET FFS procedure.
The aim of this work is to identify the relationship between the input variables and the process response and develop the predictive models that can be used in the design of new friction surfacing applications.
The relationship between the input variables in the model (i.e. meteorological data and catchment initial conditions) and its overall structure can be explained in terms of catchment hydrological processes.
The aim of this work is to identify relationships between the input variables and the process response and to develop predictive models that can be used in the design of new friction surfacing applications.
The adequate relation was found between the input variables and response (removal percentage of RhB) and Fisher values (F- values) along with P-values suggesting the significance of various term coefficients.
The method of experimental design and response surface methodology have been employed to find out the optimal conditions for the complexation process and to evaluate the interaction between the input variables, i.e., initial cobalt concentration, pH and amount of the polymer used, expressed as a polymer/Co2+ ratio r.
Response surface methodology (RSM) is applied to optimize the effects of processing parameters of extraction on the yield of dye and a computer-stimulated artificial neural network (ANN) model is developed to get a good correlation between the input variables responsible for extraction and the output parameter (concentration of dye) of extraction from pomegranate rind.
