DocumentCode :
147412
Title :
Practical perspective of artificial neural networks as a function approximator, not an almighty black box
Author :
Tae-Hyung Kim
Author_Institution :
Inst. of Convergence Technol., Seoul, South Korea
fYear :
2014
fDate :
27-29 Aug. 2014
Firstpage :
1
Lastpage :
2
Abstract :
In the realm of Computational Intelligence/Machine Learning (CI/ML), artificial neural networks (ANNs) are believed to have potential to mimic human brain. As a researcher, maintaining this dream is important. However, one should realize an artificial neuron is a model, not an actual biological neuron. This paper indicates the logical leap why ANNs are not like human brain.
Keywords :
function approximation; neural nets; ANN; CI; ML; artificial neural networks; artificial neuron; biological neuron; computational intelligence; function approximator; human brain; machine learning; Artificial neural networks; Biological system modeling; Brain modeling; Computer architecture; Function approximation; Neurons; artificial neural networks; function approximation; practicalism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optical Internet 2014 (COIN), 2014 12th International Conference on
Conference_Location :
Jeju
Type :
conf
DOI :
10.1109/COIN.2014.6950561
Filename :
6950561
Link To Document :
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