Software and hardware realisation of neural network based on Min/Max Nodes for image recognition

Title:

Software and hardware realisation of neural network based on Min/Max Nodes for image recognition

Creator:

Holota, R.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:74a1ad3b-25c3-4d50-874f-bd8e31913ce9
uuid:74a1ad3b-25c3-4d50-874f-bd8e31913ce9

Subject:

Neural network, Min/Max nodes, image recognition, face recognition, hardware design, and VHDL

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

This article deals with a neural network based on Min/Max nodes and its utilisation for image recognition purposes. The general concepts of the Min/Max nodes and the single-layer neural networks are outlined. The developed software systems for simulation are briefly introduced and the results of simulations with the various settings of a neural net are presented. The subject of simulations was the recognition of human faces. Finally, the hardware design of the neural network in VHDL is shown. The design demonstrates the ease of systems realisation and the achieving of high performance.

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 | 2006 Volume:16 | Number:3

Harvested from:

CDK

Metadata only:

false