The hyperbolic tangent function and its derivative are key essential element in analog signal processing and especially in analog VLSI implementation of neuron of artificial neural networks. The main conditions of these types of circuits are the small silicon area, and the low power consumption. The objective of this paper is to study and design CMOS VLSI hyperbolic tangent function and its der...

In this paper we present a new kind of B-splines, called hyperbolic B-splines generated over the space spanned by hyperbolic functions and we use it to interpolate an arbitrary function on a set of points. Numerical tests for illustrating hyperbolic B-spline are presented.

In this paper we present, propose and examine additional membership functions for the Smoothing Transition Autoregressive (STAR) models. More specifically, we present the tangent hyperbolic, Gaussian and Generalized bell functions. Because Smoothing Transition Autoregressive (STAR) models follow fuzzy logic approach, more fuzzy membership functions should be tested. Furthermore, fuzzy rules can...

We derive bounds on the error, in high-order Sobolev norms, incurred approximation of Sobolev-regular as well analytic functions by neural networks with hyperbolic tangent activation function. These provide explicit estimates error respect to size networks. show that tanh only two hidden layers suffice approximate at comparable or better rates than much deeper ReLU

Bridge is an international imperfect information game played with similar rules all over the world and it is played by millions of players. It is an intelligent game, which increases the creativity with multiple skills and knowledge of human mind. Because no player knows exactly what moves other players are capable of making. It is viewed as an imperfect information game. It is well defined in ...

Hyperbolic tangent and Sigmoid functions are used as non-linear activation units in the artificial deep neural networks. Since, these networks computationally expensive, customized accelerators designed for achieving required performance at lower cost power. The function MAC key building blocks of A low complexity accurate hardware implementation is to meet area targets such network accelerator...