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