Results 21 to 30 of about 3,832 (117)
StatsShannon’s entropy is a fundamental concept in information theory that quantifies the uncertainty or information in a random variable or data set.
Kapil Kumar +2 more
doaj +1 more source
A Note on Distance-based Graph Entropies
Entropy, 2014 A variety of problems in, e.g., discrete mathematics, computer science, information theory, statistics, chemistry, biology, etc., deal with inferring and characterizing relational structures by using graph measures. In this sense, it has been proven that
Zengqiang Chen +2 more
doaj +1 more source
Entropy, 2008 At the heart of many ICA techniques is a nonparametric estimate of an information measure, usually via nonparametric density estimation, for example, kernel density estimation.
Julian Sorensen
doaj +1 more source
On Nonlinear Complexity and Shannon’s Entropy of Finite Length Random Sequences
Entropy, 2015 Pseudorandom binary sequences have important uses in many fields, such as spread spectrum communications, statistical sampling and cryptography. There are two kinds of method in evaluating the properties of sequences, one is based on the probability ...
Lingfeng Liu, Suoxia Miao, Bocheng Liu
doaj +1 more source
An Elementary Derivation of The Black Hole Entropy in Any Dimension
Entropy, 2001 : An elementary derivation of the Black Hole Entropy area relation in any dimension is provided based on the New Extended Scale Relativity Principle and Shannon's Information Entropy.
Carlos Castro
doaj +1 more source
Integration of fuzzy Shannon’s entropy with fuzzy TOPSIS for industrial robotic system section
Journal of Industrial Engineering and Management, 2012 Purpose: The aim of this study is applying a new method for Industrial robotic system selection.Design/methodology/approach: In this paper, the weights of each criterion are calculated using fuzzy Shannon’s Entropy.
Ahmad Jafarnejad Chaghooshi +2 more
doaj +1 more source
Use and Abuse of Entropy in Biology: A Case for Caliber
Entropy, 2020 Here, I discuss entropy and its use as a tool in fields of biology such as bioenergetics, ecology, and evolutionary biology. Statistical entropy concepts including Shannon’s diversity, configurational entropy, and informational entropy are discussed in ...
Ty N. F. Roach
doaj +1 more source
SoftwareXThis work presents a novel optimization strategy for maximum coupling results in optical coupler design. It was performed by the association between Evolutionary Strategy based metaheuristic with Fuzzy Logic and Shannon’s Entropy estimation for fitness ...
Wilton Moreira Ferraz, Junior +2 more
doaj +1 more source
Generalization of the partitioning of shannon diversity. [PDF]
PLoS ONE, 2014 Traditional measures of diversity, namely the number of species as well as Simpson's and Shannon's indices, are particular cases of Tsallis entropy. Entropy decomposition, i.e. decomposing gamma entropy into alpha and beta components, has been previously
Eric Marcon +4 more
doaj +1 more source
Entropy, 2023 The article analytically summarizes the idea of applying Shannon’s principle of entropy maximization to sets that represent the results of observations of the “input” and “output” entities of the stochastic model for evaluating variable small data.
Oleh Bisikalo +4 more
doaj +1 more source