×

You are using an outdated browser Internet Explorer. It does not support some functions of the site.

Recommend that you install one of the following browsers: Firefox, Opera or Chrome.

Contacts:

+7 961 270-60-01
ivdon3@bk.ru

The neural networks recognition of the classes in real time

Abstract

The neural networks recognition of the classes in real time

S.P. Aleshin, E.A. Borodina

Incoming article date: 01.01.2013

The work is devoted to the development of theoretical and practical basis for the use of intelligent technologies for productive extraction of knowledge from data sets for decision-making in real time.Developed the method  construction of the accelerating algorithm, while controlling for allowable adequacy model allows training neural network models in the rate of real-time within a given risk. Proposed accelerating algorithm and neural network models are built based on a standard emulator, providing the required efficiency in the processing of the input array. within the limits.

Keywords: neyroemulyator speeding up the algorithm, cascade circuit training sample, gradient descent, back propagation of error