Statistical characterization of some electrical and mechanical phenomena by a neural probability density function estimation technique

Title:

Statistical characterization of some electrical and mechanical phenomena by a neural probability density function estimation technique

Creator:

Fiori, Simone and Rossi, Roberto

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:c02074b0-71b0-4a62-bebd-412d6e6e3325
uuid:c02074b0-71b0-4a62-bebd-412d6e6e3325

Subject:

statistical modeling, electrical and mechanical phenomena, probability density function estimation, neural modeling, and information-theoretic learning

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The present paper concerns the estimation of probability density functions using the particular parameterized class of distribution functions implemented by a single non-linear neuron, introduced in the previous contribution [12]. The estimation procedure is applied to the statistical characterization of sorne electrical and mechanical phenomena.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2004 Volume:14 | Number:2

Harvested from:

CDK

Metadata only:

false