Uniform probability distribution 2. Exponential probability distribution 3. Normal probability distribution There are two major differences between discrete and continuous probability distributions: 1 ...

This paper describes an identifier for a class of nonlinear systems based on continuous recurrent neural networks (CRNN). The identifier is proposed considering the approximation properties of ...

A novel graph-based Estimation of Distribution Algorithm (EDA) named Probabilistic Model Building Genetic Network Programming (PMBGNP) has been proposed. Inspired by classical EDAs, PMBGNP memorizes ...

Discover how the exponential distribution shapes our daily lives and decision-making processes in various real-world scenarios through data science insights.

Kundu & Gupta (2011) also derived an absolute continuous bivariate Generalized Exponential distribution based on the Clayton copula. In this paper, we introduce other bivariate generalized exponential ...