DocumentCode :
1079212
Title :
Computing with neural networks
Author :
Sadiku, Matthew ; Mazzara, Maria
Author_Institution :
Temple Univ., Philadelphia, PA, USA
Volume :
12
Issue :
3
fYear :
1993
Firstpage :
14
Lastpage :
16
Abstract :
The resurgence of interest in neural networks is discussed. This interest is prompted by two facts. First, the nervous systems of simple animals can easily solve problems that are very difficult for conventional computers. Second, the ability to model biological nervous system functions using man-made machines increases understanding of that biological function. Two popular models of neural networks, the feedforward model and the feedback model, are described. Adaptation or learning, a major focus of neural network research, is detailed.<>
Keywords :
feedforward neural nets; learning (artificial intelligence); recurrent neural nets; adaptation; biological nervous system functions; feedback model; feedforward model; learning; man-made machines; nervous systems; neural networks; simple animals; Biological neural networks; Biological system modeling; Computer networks; Feedforward neural networks; Feedforward systems; Humans; Neural networks; Neurofeedback; Neurons; Signal processing algorithms;
fLanguage :
English
Journal_Title :
Potentials, IEEE
Publisher :
ieee
ISSN :
0278-6648
Type :
jour
DOI :
10.1109/45.282289
Filename :
282289
Link To Document :
بازگشت