Neural nets, random design and reverse engineering

Author

Stark, Lawrence W.

Author_Institution

Neurol. & Telerobotic Units, California Univ., Berkeley, CA, USA

fYear

1993

fDate

1993

Firstpage

1313

Abstract

Reverse engineering is briefly examined within the context of neural network research. Some historical experiments in reverse engineering are reviewed. The multiple adaptive matched filter (MAMF) scheme is briefly outlined, the feature space view of MAMFs is presented, the Eliashberg-Chomsky orders for intelligent machines are shown, and a color vision example of reverse engineering is given

Keywords

adaptive filters; computer vision; feature extraction; matched filters; neural nets; Eliashberg-Chomsky orders; color vision; feature space view; intelligent machines; multiple adaptive matched filter; neural network research; reverse engineering; Automotive engineering; Biological neural networks; Biological systems; Design engineering; Heat engines; Nervous system; Neural networks; Neurons; Pattern recognition; Reverse engineering;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1993., IEEE International Conference on

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-0999-5

Type

conf

DOI

10.1109/ICNN.1993.298748

Filename

298748

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1907147