DocumentCode :
2356447
Title :
Biological neurons-functional roots of artificial neural nets
Author :
Satyanarayana, R.V.S. ; Rao, C. Raja
Author_Institution :
Coll. of Eng., Sri Venkateswara Univ., Tirupati, India
fYear :
1995
fDate :
15-18 Feb 1995
Firstpage :
12145
Lastpage :
12510
Abstract :
Artificial neural net models or simply “neural nets” have their functional roots in biological neurons. The ultimate aim of the neural nets is to achieve human-like performance. ANNs are being applied to diverse fields such as signal processing, medical diagnosis, financial analysis etc. This paper highlights the important characteristics of biological neurons and identifies the developmental stages of the neural nets, emphasising the prominent contributions
Keywords :
brain models; neural nets; neurophysiology; physiological models; ANN; artificial neural nets; biological neurons; developmental stages; financial analysis; functional roots; human-like performance; medical diagnosis; signal processing; Artificial neural networks; Biological neural networks; Biological system modeling; Biology computing; Biomedical signal processing; Medical diagnosis; Neural networks; Neurons; Signal analysis; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1995 and 14th Conference of the Biomedical Engineering Society of India. An International Meeting, Proceedings of the First Regional Conference., IEEE
Conference_Location :
New Delhi
Print_ISBN :
0-7803-2711-X
Type :
conf
DOI :
10.1109/RCEMBS.1995.533016
Filename :
533016
Link To Document :
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