In the present study, the effective parameters of water-Al2O3 nanofluid flowing in flat tubes are investigated using the EFAST Sensitivity Analysis (SA) method. The SA is performed using GMDH type artificial neural networks (ANN) which are based on validated numerical data of two phase modeling of nanofluid flow in flat tubes. There are five design variables namely: tube flattening (H), flow ra...

The most common transfer functions in neural networks are of the sigmoidal type. In this article other transfer functions are considered. Advantages of simple gaussians, giving hyperelliptical densities, and gaussian bar functions (sums of one-dimensional gaussians) are discussed. Bi-radial functions are formed from products of two sigmoids. Product of M bi-radial functions in N -dimensional pa...

The choice of transfer functions in neural networks is of crucial importance to their performance. Although sigmoidal transfer functions are the most common there is no a priori reason why they should be optimal in all cases. In this article advantages of various neural transfer functions are discussed and several new type of functions are introduced. Universal transfer functions, parametrized ...

1 EE Dept., The Pennsylvania State University. University Park, PA 16802, USA, [email protected] 2 EE Dept., The Pennsylvania State University. University Park, PA 16802, USA, [email protected] 3 EE Dept., The Pennsylvania State University. University Park, PA 16802, USA, [email protected] 4 EE Dept., The Pennsylvania State University. University Park, PA 16802, USA, [email protected]....

S mall-signal analysis of switching dc-dc converters determines their specific transfer functions, for example, for stability analysis or design of a proper input filter. Transfer functions of interest for switching dc-dc converters are input impedance , output impedance, duty cycle (or control voltage) to output voltage, and input voltage to output voltage. Two pieces of literature about accom...

Multi-dimensional transfer functions are an efficient way to visualize features in scalar volume data produced by CT or MRI scanners. However, the optimal transfer function is difficult to find in general. We present an automatic yet powerful method for the automatic setup of multi-dimensional transfer functions by adding spatial information to the histogram of a volume. Using this information ...

the conductivity distribution across the trans-european suture zone (tesz) is presented based on the measurements along a 400 km northeastern directed profile, starting from the german-polish basin, crossing the tesz and ending at the east european craton. two-dimensional inversion was applied to magnetotelluric transfer functions and magnetovariational responses corresponding to 38 long-period...