DocumentCode
2935084
Title
Biologically inspired signal processing
Author
Johnson, R.P. ; Jain, L.C.
Author_Institution
Weapons Syst. Div., Defence Sci. & Technol. Organ., Australia
fYear
1995
fDate
23-25 May 1995
Firstpage
4
Lastpage
5
Abstract
Recent work on the solution of some complex engineering problems has been directed towards techniques that rely on biological systems for inspiration. The reasons for looking at these approaches and some implications of the new technologies are discussed. Some technical aspects of neural networks and genetic approaches are considered
Keywords
neural nets; problem solving; signal processing; biological systems; biologically inspired signal processing; complex engineering problems; genetic approaches; neural networks; Artificial neural networks; Australia; Biological systems; Biomedical signal processing; Genetics; Humans; Neural networks; Power engineering and energy; Problem-solving; Weapons;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Technology Directions to the Year 2000, 1995. Proceedings.
Conference_Location
Adelaide, SA
Print_ISBN
0-8186-7085-1
Type
conf
DOI
10.1109/ETD.1995.403496
Filename
403496
Link To Document