Title :
Using distributed neural networks in automated optical inspection
Author :
Milea, Constantin ; Svasta, Paul
Author_Institution :
Bucharest Politehnica Univ., Romania
Abstract :
This paper introduces the concept of distributed neural networks over a computer network. Each layer in the neural network can be run as a separate application on different computers or on the same computer. The paper emphasizes the advantages of such an architecture over classical ones in terms of issues such as large neural networks and large input data. To test this new architecture, we use images from some automated optical inspection machinery, hoping to improve the results
Keywords :
automatic optical inspection; computer networks; image processing; neural net architecture; automated optical inspection; automated optical inspection machine images; computer network; distributed neural networks; input data; large neural networks; network architecture; neural network layers; separate application layers; Application software; Automatic optical inspection; Automatic testing; Computer applications; Computer architecture; Computer networks; Machinery; Neural networks; Optical computing; Optical fiber networks;
Conference_Titel :
Electronics Technology: Concurrent Engineering in Electronic Packaging, 2001. 24th International Spring Seminar on
Conference_Location :
Calimanesti-Caciulata
Print_ISBN :
0-7803-7111-9
DOI :
10.1109/ISSE.2001.931084
