self adapting activation function Implementation of parameterized soft-exponential activation function. In this implementation, the parameters are the same for all neurons initially starting with ...

self adapting activation function Implementation of parameterized soft-exponential activation function. In this implementation, the parameters are the same for all neurons initially starting with ...

Data from an experiment may result in a graph indicating exponential growth. This implies the formula of this growth is \(y = k{x^n}\), where \(k\) and \(n\) are constants. Using logarithms, we can ...

Abstract: In this paper, CMOS realizations of exponential function generators are considered and it is shown that the inherent square-law characteristic of the CMOS can be effectively used to produce ...

Abstract: Sums of exponentially distributed random variables (RVs) play important roles in performance analysis of various communication systems. Their logarithmic expectations can not only facilitate ...

The least-squares regression comparison of linear, exponential, logarithmic, and power functions for 13 diverse profiles demonstrated that: (1) a standard method of plotting profiles from source to ...