Conceptions and Modeling for Transmitted Information Evaluation by ANN

Authors:
Algis Garliauskas
Affiliations:
Vilnius Gediminas Technical University & Institute of Mathematics and Informatics, Saulėėtekio 11, LT-2054, Vilnius, Lithuania, e-mail: galgis_1@ktl.mii.lt
Venue:
Informatica
Year:
2004

Citing 2
Cited 1

A Mathematical Theory of Communication

A Mathematical Theory of Communication
Information and Self-Organization: A Macroscopic Approach to Complex Systems (Springer Series in Synergetics)

Information and Self-Organization: A Macroscopic Approach to Complex Systems (Springer Series in Synergetics)

Information Conveyed by the Neural Network Systems and its Applied Significance

Informatica

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Abstract

In this paper, the main measure, an amount of information, of the information theory is analyzed and corrected. The three conceptions of the theory on the microstate, dissipation pathways, and self-organization levels with a tight connection to the statistical physics are discussed. The concepts of restricted information were introduced as well as the proof of uniqueness of the entropy function, when the probabilities are rational numbers, is presented. The artificial neural network (ANN) model for mapping the evaluation of transmitted information has been designed and experimentally approbated in the biological area.