Regression analysis,

**artificial neural network**models were used as a non-linear model to compare results and detect more accurate model.This definition appears very frequently and is found in the following Acronym Finder categories:

- Information technology (IT) and computers

See other **definitions of ANN**

Other Resources:

We have 90 other **meanings of ANN** in our Acronym Attic

- Abbreviation Database Surfer
- « Previous
- Next »

Regression analysis, **artificial neural network** models were used as a non-linear model to compare results and detect more accurate model.

Moscow-based mathematicians Kuzmina, Manykin, and Grichuk describe and analyze various oscillatory neutral network models, a special kind of **artificial neural network** model that helps elucidate the basic principles of brain performance by displaying the capability and limitations of synchronization-based information processing.

CANDACE uses sophisticated image processing, feature extraction, pattern classification and **artificial neural network** techniques to produce a diagnosis.

Self Organizing Feature Maps [1] are special class of **artificial neural networks** based on competitive learning.

Uncertainty treatment using paraconsistent logic; introducing paraconsistent **artificial neural networks**.

There are many methods how to predict, one of them is utilization of **artificial neural networks** (ANNs).

Researchers in Spain indicate that an **artificial neural network** could be used to obtain a temperature prediction model for high-pressure processes.

The **artificial neural network** is trained for a set of normalized inputs and tested.