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 :
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